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Science ResearchTop 10 Best Dynamic Simulation Software of 2026
Ranked roundup of top dynamic simulation software options with evaluation criteria and tradeoffs for engineers, including AnyLogic and 20-sim.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
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Framework: Features 40% · Ease 30% · Value 30%
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AnyLogic is the best fit when you need one hybrid simulation spanning discrete events, agents, and continuous dynamics with external FMU coupling, whereas 20-sim works well for equation-based dynamic modeling and FMI-ready reuse across simulators, and OpenModelica is the budget-friendly entry if Modelica teams want automated transients and FMU outputs.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
AnyLogic
Agent-based modeling and discrete event control logic can be wired directly into the same hybrid simulation model structure.
Best for: Fits when teams need one hybrid simulation spanning logic, agents, and continuous dynamics with external FMU coupling.
20-sim
Editor pickFMU export preserves the model’s dynamic behavior for co-simulation in external toolchains.
Best for: Fits when engineering teams need equation-based dynamic models and FMI-ready reuse across simulators.
Wolfram System Modeler
Editor pickWolfram Language integration for scripted model configuration and automated simulation experiments.
Best for: Fits when teams combine equation-based system modeling with Wolfram Language-driven automation and export.
Comparison Table
AnyLogic
enterpriseDiscrete event, agent-based, and dynamic simulation modeling environment.
Agent-based modeling and discrete event control logic can be wired directly into the same hybrid simulation model structure.
AnyLogic’s core fit comes from its unified authoring workflow for discrete event hybrid modeling, agent-based behavior, and continuous differential equation modeling in one project structure. The environment provides experiment management for scenarios, parameter sweeps, and calibration-style workflows, which is useful when the same model needs repeated runs under different operating points. FMI export supports integration with external simulators that drive coupling through FMUs rather than re-authoring models inside one toolchain.
The main tradeoff is that large hybrid models can become harder to diagnose when event scheduling, algebraic loops, and stiff continuous dynamics interact. AnyLogic fits best when engineering teams need one model to serve operator training or virtual commissioning style validation while also supporting external system coupling via co-simulation interfaces.
- +Hybrid discrete event and continuous modeling in one model build
- +Agent-based components integrate with equation-based subsystems
- +FMI and FMU export support co-simulation coupling with external tools
- +Experiment workflows cover parameter sweeps and repeated scenario runs
- –Debugging event timing and continuous stiffness interactions can be time-consuming
- –Large models require deliberate model structuring to keep iteration cycles short
Process engineering teams
Transient validation with event-driven logic
Fewer model handoffs
Automation and controls engineers
Virtual commissioning with FMU coupling
Tighter integration testing
Show 2 more scenarios
Operator training program owners
Scenario-based training simulation
Repeatable operator runs
Training scenarios vary discrete events while continuous states evolve for repeatable instructor-led exercises.
Supply chain and logistics analysts
Agent-based network behavior modeling
Better bottleneck visibility
Agents represent flows through facilities while operational rules trigger discrete events and delays.
Best for: Fits when teams need one hybrid simulation spanning logic, agents, and continuous dynamics with external FMU coupling.
20-sim
SMBModeling and simulation package for dynamic system behavior of electrical, mechanical, and hydraulic systems.
FMU export preserves the model’s dynamic behavior for co-simulation in external toolchains.
20-sim uses a drag-and-connect modeling canvas that maps directly to a sequential modular equation structure, which keeps model assembly readable for multi-domain systems. Component libraries cover physical domains such as mechanical, electrical, thermal, and fluid, and the build process focuses on generating a consistent set of equations for the DAE solver. FMU export supports exchanging the resulting dynamics with external environments for co-simulation without rewriting the model. Batch execution supports running multiple parameter sets and capturing outputs for comparison.
A key tradeoff appears in project scale and solver tuning, because large hybrid models can require careful initialization and time-step settings to avoid convergence stalls. Best fit is virtual plant commissioning where deterministic transient behavior matters and the same model must feed operator training scenarios, controller prototyping, or validation reports.
- +Sequential modular model assembly stays readable for multi-domain systems
- +FMU export supports co-simulation handoff without model translation work
- +DAE-oriented solving targets stiff dynamics and algebraic equations
- +Batch simulation supports parameter sweeps and regression reruns
- –Large hybrid models can require careful initialization and time-step control
- –Advanced solver and convergence behavior often needs deliberate configuration
- –Deep integration with enterprise data stacks can demand custom scripting
Controls engineers
Prototype controller coupling with plant dynamics
Shorter controller validation cycles
Process simulation engineers
Transient analysis for unit operations
More reliable transient results
Show 2 more scenarios
Training and validation teams
Operator training simulator dynamics
Consistent training scenario behavior
Reuse a single dynamic model for scenario playback and compare runs across configuration sets.
Model-based engineering teams
Regression testing for model changes
Fewer hidden model regressions
Automate batch runs across parameter sets and capture outputs for change detection.
Best for: Fits when engineering teams need equation-based dynamic models and FMI-ready reuse across simulators.
Wolfram System Modeler
enterpriseModel-based environment for simulating dynamic cyber-physical systems using the Modelica language.
Wolfram Language integration for scripted model configuration and automated simulation experiments.
Wolfram System Modeler provides a component-based environment for building equation systems and running dynamic simulation with solver controls exposed for time-step integration and initialization. Its workflow fits teams that want both graphical modeling and programmable access through the Wolfram Language for automation around parameter sweeps and model variants. The modeling approach supports discrete event hybrid behavior alongside continuous dynamics, which helps represent controller interactions and switching logic. The integration story is strongest when the surrounding toolchain already uses Wolfram Language artifacts.
A tradeoff appears when advanced engineering deployments need deep, vendor-specific automation around manufacturing historians, OPC-style data pipelines, or strict enterprise provisioning controls. The simulator output can integrate externally through exchange formats like FMU, but full closed-loop co-simulation with plant-side middleware may require additional glue code. Wolfram System Modeler fits usage situations where teams need repeated model runs, fast iteration on system equations, and export to other simulation environments for virtual plant commissioning.
- +Wolfram Language automation for parameter studies and model generation
- +Hybrid discrete event plus continuous modeling in one workflow
- +FMU export for connecting to external co-simulation stacks
- +Solver-oriented model structuring improves convergence handling
- –Tighter enterprise governance controls lag specialized simulation suites
- –Plant integration workflows may need custom connectors and scripting
Controls engineering teams
Hybrid controller interaction simulation
Fewer iteration cycles
Process modeling engineers
Transient flowsheet validation
Faster validation loops
Show 2 more scenarios
Model-based testing teams
Reproducible scenario parameter sweeps
Consistent regression coverage
Automates batch runs and model variations using Wolfram Language scripts tied to the same modeling artifacts.
Digital twin integration teams
FMU-based virtual asset simulation
Reduced integration friction
Packages dynamic models for co-simulation and aligns component interfaces with external simulation environments.
Best for: Fits when teams combine equation-based system modeling with Wolfram Language-driven automation and export.
MATLAB Simulink
enterpriseModel-based design environment for dynamic system simulation and multidomain physical modeling.
Hierarchical block modeling plus MATLAB-driven parameterization enables repeatable system-level test runs.
MATLAB Simulink is an equation-oriented modeling and simulation environment built around a sequential modular architecture for assembling dynamic systems with block diagrams and scripted components. It supports continuous, discrete, and hybrid behaviors using a DAE solver workflow with solver configuration controls for time-step tolerance and initialization.
- +Model assembly supports continuous and hybrid dynamics with solver controls
- +Strong automation via MATLAB scripting around model parametrization and runs
- +Reusable libraries speed consistent subsystem build across related designs
- +Code generation workflow supports deployment targets for control and plant models
- –Large hybrid models often require careful algebraic loop breaking
- –Performance tuning depends on understanding solver settings and Jacobian structure
- –FMI and FMU workflows can need extra configuration for interoperability
- –Governance at scale relies on disciplined model and dependency management
Best for: Fits when engineering teams need diagram-based dynamic modeling tied to MATLAB automation and code generation.
Modelica
enterpriseNon-vendor specification and libraries for modeling and simulation of dynamic systems.
Standardized Modelica language with code generation plus FMI co-simulation and FMU packaging for cross-tool deployment.
Modelica turns physical system descriptions into equation-oriented models for dynamic simulation, with a standardized modeling language rather than a single-purpose solver workflow. Its core capability is expressing coupled multi-domain systems using acausal equation definitions, then generating efficient code for simulation engines that target stiff and hybrid behavior.
- +Equation-oriented, acausal modeling supports tightly coupled physical domains
- +Extensive model component reuse across libraries improves consistency
- +FMI co-simulation and FMU export enable toolchain integration
- +Stiff system integration is a practical focus for many dynamic systems
- –Algebraic loop breaking and index reduction can require modeling discipline
- –Hybrid discrete event behavior depends on solver and formulation choices
- –Large library projects can be harder to govern without conventions
- –Performance tuning often requires understanding generated code and Jacobians
Best for: Fits when teams need reusable equation-based dynamic models and FMU or FMI handoff into other engineering tools.
Stella
enterpriseSystem dynamics modeling and simulation software for dynamic feedback systems.
Sequential modular model construction that supports operator training simulator style scenario authoring.
Stella from iSee Systems targets equation-oriented simulation workflows where hybrid process models need to move from calibration to repeatable studies. It supports sequential model build with component libraries, and it runs time-domain integrations suitable for transient behavior and operator-style training scenarios.
- +Sequential modular modeling workflow helps manage complex transient systems
- +FMI co-simulation export enables connecting Stella models to external simulators
- +Time-domain integration is suitable for operator training and transient studies
- +Component libraries speed repeat modeling across similar system variants
- –Automation and API surface are limited for large-scale scenario generation
- –Advanced solver tuning and convergence control can require careful setup discipline
Best for: Fits when teams need equation-based transient modeling with reusable components and FMI interoperability.
PowerWorld
vertical specialistPower system dynamic simulation and analysis software.
Event-driven simulation tooling for switching, faults, and timed actions across large power network cases.
PowerWorld focuses on electric power system dynamic simulation with a workflow built around interactive network models and disturbance studies. The tool integrates transient stability style time-domain runs with utilities common in operator training and planning workflows, including event sequencing and measurement-oriented playback.
- +Interactive network modeling shortens iteration loops for grid disturbance studies
- +Built-in event tools support repeatable switching and fault timing workflows
- +Scripting automation enables batch runs across many scenarios
- +Measurement playback and visualization support model validation against time traces
- –Focused domain coverage limits general multiphysics modeling use cases
- –Deep customization of solver behavior requires careful add-on and workflow knowledge
- –Coupling to external process models typically needs file or scripting bridges
- –Large cases can stress performance without disciplined model reduction
Best for: Fits when power grid teams need interactive dynamic simulation workflows with automated scenario runs.
CYME
vertical specialistPower system analysis software for distribution and transmission dynamic simulation.
Time-domain study workflow tuned for distribution network switching and control impacts on voltage and operating conditions.
CYME is dynamic simulation software focused on power distribution networks rather than generic equation-first modeling. It builds time-domain behavior from network assets and control elements to support operational studies like voltage performance and switching impacts.
- +Network asset libraries map directly to distribution studies and control logic
- +Scenario execution supports repeated runs for operational switching and operating-point changes
- +Modeling workflow keeps electrical topology and control elements in one environment
- +Result outputs align with distribution engineering review tasks and reporting
- –Complex custom component modeling needs more configuration discipline
- –Integration for high-volume co-simulation workflows can feel limited
- –Large hybrid models can strain runtime when event logic is dense
- –Script-driven automation is less central than guided configuration
Best for: Fits when distribution engineers need dynamic scenario runs on realistic feeder models with repeatable control behavior.
OpenModelica
enterpriseFree open-source Modelica-based modeling and simulation environment.
FMU export lets Modelica models run in external co-simulation tools as packaged simulation units.
OpenModelica runs equation-oriented dynamic simulations from Modelica models using its modeling and simulation toolchain. It supports FMU export for co-simulation workflows and provides command-line automation for batch runs, which helps with repeatable verification of transient scenarios.
- +Modelica-first workflow with integrated compile and simulation loop
- +FMU export supports co-simulation with external simulation environments
- +Command-line interface enables batch execution for parameter sweeps
- +DAE solver controls support stiff systems and index reduction behavior
- –Model setup and solver tuning can take more effort than click-to-run tools
- –Hybrid discrete-event modeling coverage depends on model structure and events
- –Large multi-domain industrial models may require careful performance management
- –Deep enterprise governance features like RBAC and audit logs are not the focus
Best for: Fits when Modelica-based teams need automated transient simulations and FMU outputs for integration.
ADAMS
enterpriseMultibody dynamics simulation software for mechanical systems.
ADAMS multibody constraint modeling with actuator and joint primitives that translate design intent into physics-consistent motion and loads.
ADAMS from Hexagon is a multibody dynamics environment built for mechanical motion simulation with constraint-based kinematics and dynamic solver support. It focuses on equation-oriented modeling of rigid and flexible bodies, actuator and contact behavior, and time integration controls for transient response work.
- +Constraint-based multibody formulation supports complex mechanisms and joint modeling
- +Actuator and motion driver workflows fit end-effector and mechanism timing studies
- +Time integration controls help manage transient stability and solver tolerance tradeoffs
- +Co-simulation and export options support coupling with system-level models
- –Model setup for contact and detailed flexibility can require significant configuration effort
- –Large system models can become iteration-bound when contact settings and step sizes change
- –Equation assembly and solver settings may require specialist tuning for stiff behaviors
- –Cross-domain workflows depend on external coupling choices for data exchange
Best for: Fits when mechanical teams need repeatable multibody transient simulations for virtual rig validation and iteration control.
Conclusion
After evaluating 10 dynamic simulation software, AnyLogic stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Dynamic Simulation Software
Dynamic simulation software supports equation-oriented transient models, hybrid event logic, and co-simulation handoff so engineering teams can test system behavior across time rather than only steady operating points.
This guide covers AnyLogic, 20-sim, Wolfram System Modeler, MATLAB Simulink, Modelica, Stella, PowerWorld, CYME, OpenModelica, and ADAMS, with emphasis on how model execution, FMU export, and automation fit into engineering workflows for 3D modeling and technical analysis.
Dynamic Simulation Software for transient behavior, hybrid logic, and FMU-ready models
Dynamic simulation software builds models that evolve state over time using solver-controlled numerical integration, often combining continuous dynamics with discrete event triggers.
AnyLogic is built around hybrid modeling that combines discrete event control logic with agent-based components that can connect to continuous equation subsystems.
20-sim focuses on sequential modular model assembly and delivers FMU export for co-simulation reuse in external toolchains.
Across these tools, the differentiators show up in how hybrid models are composed, how model execution is automated, and how FMUs move dynamic behavior into downstream simulators without rebuilding the model.
Hybrid execution, FMU handoff, and automation surfaces that change iteration speed
Dynamic simulation software has to run hybrid workloads without breaking event timing or solver stability, because most real engineering models include both continuous dynamics and discrete triggers. AnyLogic combines discrete event control logic with agent-based components in one model build, which reduces the friction of keeping event-driven state changes aligned with continuous equation subsystems.
FMU export and co-simulation handoff decide whether the same dynamic model can be reused across downstream engineering stacks. 20-sim provides FMU export that preserves the model’s dynamic behavior for co-simulation handoff, while Modelica tools like OpenModelica and Modelica-first workflows use FMU packaging to run equation-based models externally without rebuilding model semantics.
Hybrid composition model build with integrated discrete logic
AnyLogic supports hybrid discrete event and continuous modeling in one model build, and its agent-based components can sit alongside equation-based subsystems. MATLAB Simulink provides diagram-based hybrid dynamics with solver controls and MATLAB-driven parameterization for repeatable runs.
FMU export for cross-tool dynamic reuse without translation
20-sim exports FMUs that preserve dynamic behavior for co-simulation in external toolchains. OpenModelica and Modelica workflows use FMU export to package Modelica models for external simulation environments.
Automation and scripted model generation for large experiment sets
Wolfram System Modeler integrates Wolfram Language to automate parameter studies and model generation, and it uses that scripting to run hybrid discrete event plus continuous workflows. MATLAB Simulink ties model parametrization and runs to MATLAB scripting, which helps repeat system-level test configurations.
Sequential modular modeling workflow with readable system assembly
20-sim uses sequential modular model assembly that stays readable for multi-domain systems. Stella uses sequential modular model construction to manage complex transient systems with reusable components and FMI co-simulation export.
Event-driven domain workflow for power grid disturbance scenarios
PowerWorld focuses on event-driven simulation tooling for switching, faults, and timed actions across large power network cases. CYME shifts the emphasis to time-domain studies tuned for distribution network switching and control impacts on operating conditions.
Constraint-based multibody dynamics for transient mechanisms and load prediction
ADAMS models multibody constraints using actuator and joint primitives that translate design intent into physics-consistent motion and loads. This makes ADAMS fit for virtual rig validation where mechanism timing drives transient loads rather than process-style parameter studies.
Choose by execution shape: hybrid modeling style, FMU handoff needs, and automation depth
Selection should start with how the engineering team wants to compose hybrid behavior, because the tools prioritize different modeling structures and expose different controls for solver and event interactions. AnyLogic supports a single hybrid build that can wire discrete event logic with agent-based components and equation-based subsystems without separating the simulation logic into different stacks.
Next, selection should match the expected reuse path for the dynamic model, because FMU export fidelity and co-simulation packaging are different across equation-oriented and modular-sequential workflows. If the requirement is FMI-ready reuse across simulators, 20-sim and Modelica-first tools like OpenModelica focus on FMU or FMI-style handoff, while MATLAB Simulink focuses more on MATLAB-driven automation around a model build and execution.
Pick the hybrid modeling structure that matches the team’s control logic
Choose AnyLogic when hybrid behavior needs to be authored as one model build that combines discrete event control logic with agent-based components and continuous equation subsystems. Choose MATLAB Simulink when hybrid behavior is best expressed as a hierarchical block diagram tied to MATLAB-driven parameterization and repeatable test execution.
Select FMU handoff as a first-class requirement or a secondary one
Choose 20-sim when FMU export needs to preserve dynamic behavior for co-simulation handoff without model translation work. Choose OpenModelica or Modelica when the team’s primary modeling language is Modelica and FMU or FMI packaging is the natural deployment shape.
Decide whether scripted automation drives model generation or model execution
Choose Wolfram System Modeler when Wolfram Language must drive parameter studies and model generation as part of the modeling workflow, not just as a post-processing layer. Choose MATLAB Simulink when automation must wrap parameterization and runs through MATLAB scripting in a repeatable system-level test loop.
Match the workflow to the domain event model, not just the solver
Choose PowerWorld when the workload is centered on interactive switching, faults, and timed actions across large power network cases with repeatable event tools. Choose CYME when the workflow is distribution network switching and control impact studies executed in time-domain scenarios tied to feeder asset libraries.
Confirm solver and initialization tolerance needs for large hybrid models
Choose 20-sim or AnyLogic when large hybrid systems must be structured deliberately because initialization and time-step control can require careful configuration. Choose MATLAB Simulink when algebraic loop breaking and Jacobian-aware solver tuning are acceptable constraints for large hybrid models.
Use ADAMS when transient mechanism physics is the core model output
Choose ADAMS when the priority is constraint-based multibody formulation with actuator and motion driver workflows for mechanism timing studies. Expect additional configuration effort when contact or detailed flexibility needs to be represented in step-size and contact settings.
Teams that need dynamic simulation with hybrid logic, modular reuse, or event-driven domain studies
Dynamic simulation software is the right category when engineering decisions depend on time evolution, event triggers, and repeatable scenario runs rather than only steady-state analysis. The selection becomes sharper when the organization needs either hybrid modeling in one build, FMU-ready reuse across simulators, or event-driven workflows tied to specific domains like power networks.
AnyLogic is the strongest fit when one hybrid model must span agent-based logic, discrete event control, and continuous dynamics with external FMU coupling. 20-sim is the strongest fit when sequential modular engineering teams want equation-based dynamic models and FMI-ready reuse across simulators.
Process and systems engineering teams building hybrid logic models
AnyLogic fits teams that need a single hybrid simulation model that wires discrete event control logic with agent-based components alongside continuous equation subsystems.
Engineering teams standardizing equation-based dynamic models across toolchains
20-sim fits teams that need sequential modular model assembly and FMU export so dynamic models can be reused in co-simulation workflows without rebuilding model semantics.
Power grid teams running switching, faults, and timed disturbance scenarios
PowerWorld fits teams that want event-driven dynamic simulation tooling with built-in workflows for repeatable switching and fault timing across large network cases.
Distribution engineering teams running control impact studies on feeder networks
CYME fits teams that need time-domain study workflows with network asset libraries mapped directly to distribution studies and repeatable control behavior runs.
Mechanical engineering teams validating transient mechanisms and loads
ADAMS fits teams that need constraint-based multibody modeling to translate actuator and joint timing into physics-consistent motion and loads for virtual rig validation.
Common buying and deployment mistakes that show up in hybrid and FMU-heavy projects
Buying mistakes happen when the hybrid modeling workflow and the reuse path are treated as interchangeable details. Event timing and stiffness interactions can change outcomes, and some tools require deliberate model structuring to keep iteration cycles short.
FMU-driven deployment can also fail when initialization and time-step control are not planned for large hybrid models. Several tools also lag in enterprise governance controls or require custom integration connectors, which can block high-volume workflow automation.
Assuming hybrid event timing will behave the same across all large models without deliberate structuring
AnyLogic can make debugging event timing and continuous stiffness interactions time-consuming in large builds, so model structure needs active iteration management.
Treating FMU export as a plug-and-play packaging step for large hybrid systems
20-sim warns that large hybrid models can require careful initialization and time-step control, so co-simulation readiness needs solver configuration planning.
Underestimating solver tuning risks from algebraic loops and Jacobian structure in hybrid diagrams
MATLAB Simulink notes that large hybrid models often require careful algebraic loop breaking and performance tuning depends on solver settings and Jacobian structure.
Selecting a tool for event workflows while ignoring domain coverage limits
PowerWorld’s event-driven tooling focuses on power network switching and faults, so multiphysics general use cases beyond that domain can demand extra modeling work.
Choosing a model-authoring environment without planning for governance and integration workflows
Wolfram System Modeler notes that tighter enterprise governance controls lag specialized simulation suites, so plant integration workflows may require custom connectors and scripting.
How We Selected and Ranked These Tools
We evaluated AnyLogic, 20-sim, Wolfram System Modeler, MATLAB Simulink, Modelica, Stella, PowerWorld, CYME, OpenModelica, and ADAMS using features and ease-of-use plus value scores, with features weighted at 40%, ease and value each weighted at 30%. We grounded the ranking on the supplied standout differentiators such as AnyLogic’s hybrid discrete event plus agent-based modeling in one build and its hybrid composition capability.
We also treated FMU export and co-simulation packaging as decisive evidence when the differentiator explicitly stated FMU or FMI-ready reuse behavior, including 20-sim’s FMU export and OpenModelica’s FMU export. We reduced scoring impact when a tool’s differentiator described workflow fit in a narrow domain like switching and faults in PowerWorld or distribution switching in CYME instead of general multiphysics dynamic modeling.
Frequently Asked Questions About Dynamic Simulation Software
How does hybrid discrete event logic differ between AnyLogic and equation-first tools like 20-sim or Modelica?
Which tools support FMU or FMI co-simulation handoff for external simulators?
How does time-step control and stiff system integration compare across MATLAB Simulink, 20-sim, and OpenModelica?
When do algebraic loops or index reduction become a practical issue, and which tools handle them better?
How do scripted configuration and automation differ between Wolfram System Modeler and MATLAB Simulink?
What breaks if a team needs equation-capture reuse without block-diagram dependencies, and how do Modelica and DIgSILENT fit?
How do security and administrative controls typically differ between tools that are automation-first like OpenModelica and training-oriented simulators like Stella?
Which tools integrate well with 3D engineering workflows for design iteration and virtual rig validation, and where do the interfaces stop?
What data migration challenges appear when moving from equation models to FMI or FMU packages, and how do 20-sim and Modelica-based tools compare?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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