Simulation-based optimization (also known as simply simulation optimization) integrates optimization techniques into simulation modeling and analysis...
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Stochastic optimization (SO) methods are optimization methods that generate and use random variables. For stochastic problems, the random variables appear...
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Reinforcement learning (section Model-based algorithms)
1109/TITS.2022.3196167. Gosavi, Abhijit (2003). Simulation-based Optimization: Parametric Optimization Techniques and Reinforcement. Operations Research/Computer...
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by using another overlaying optimizer, a concept known as meta-optimization, or even fine-tuned during the optimization, e.g., by means of fuzzy logic...
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social science. Agent-based modeling is related to, but distinct from, the concept of multi-agent systems or multi-agent simulation in that the goal of...
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combinatorial optimization, A is some subset of a discrete space, like binary strings, permutations, or sets of integers. The use of optimization software...
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generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from...
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Gekko - simulation software in Python with machine learning and optimization GNU Octave - an open-source mathematical modeling and simulation software...
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Process simulation is used for the design, development, analysis, and optimization of technical process of simulation of processes such as: chemical plant...
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Evacuation simulation is a method to determine evacuation times for areas, buildings, or vessels. It is based on the simulation of crowd dynamics and pedestrian...
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{\displaystyle g_{i}(x)\geqslant 0,i=1,\ldots ,r} . Global optimization is distinguished from local optimization by its focus on finding the minimum or maximum over...
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Monte Carlo method (redirect from Monte Carlo simulation)
many issues related to simulation and optimization. The traveling salesman problem is what is called a conventional optimization problem. That is, all...
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Hopsan (category Simulation software)
addition to the simulation capability it also had features for simulation based optimization. This used the COMPLEX direct search optimization method or a...
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Genetic algorithm (redirect from Optimization using genetic algorithms)
climbing, and swarm intelligence (e.g.: ant colony optimization, particle swarm optimization) and methods based on integer linear programming. The suitability...
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signal optimization. Transportation Research Part B: Methodological, 81, 520-538. Osorio, C., & Selvam, K. K. (2017). Simulation-based optimization: achieving...
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trajectory optimization were in the aerospace industry, computing rocket and missile launch trajectories. More recently, trajectory optimization has also...
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Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute...
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Colony Optimization page Ant Colony Optimization Home Page "Ant Colony Optimization" - Russian scientific and research community AntSim - Simulation of Ant...
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pharmaceuticals, chemicals, and foods. Simulation-based optimization incorporates dynamic or steady-state computer-based process simulation models to determine more...
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theory, control theory, operations research, information theory, simulation-based optimization, multi-agent systems, swarm intelligence, statistics and genetic...
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expansion optimization Transmission expansion optimization Generation-transmission expansion co-optimization Distribution network optimization A well-defined...
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technology for performance tuning or optimizing, safety engineering, testing, training, education, and video games. Simulation is also used with scientific modelling...
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portfolio optimization Copula based methods Principal component-based methods Deterministic global optimization Genetic algorithm Portfolio optimization is usually...
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Optimus platform (category Computer system optimization software)
help solve design optimization problems: Design of Experiments (DOE) Response Surface Modeling (RSM) Numerical optimization, based on local or global...
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OpenModelica (category Mathematical optimization software)
building simulation executables linked with selected numerical ODE or DAE solvers. The OMC is written in MetaModelica, a unified equation-based semantical...
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however, a single simulation can take many minutes, hours, or even days to complete. As a result, routine tasks such as design optimization, design space...
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Swarm is the name of an open-source agent-based modeling simulation package, useful for simulating the interaction of agents (social or biological) and...
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assumptions about the optimization problem being solved and so may be usable for a variety of problems. Compared to optimization algorithms and iterative...
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Simulation modeling is the process of creating and analyzing a digital prototype of a physical model to predict its performance in the real world. Simulation...
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Building performance simulation (BPS) is the replication of aspects of building performance using a computer-based, mathematical model created on the...
40 KB (4,284 words) - 13:59, 1 June 2024