Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Simulation optimization methodologies
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Proceedings of the 32nd conference on Winter simulation
A framework for Response Surface Methodology for simulation optimization
Proceedings of the 32nd conference on Winter simulation
Simulation optimization using tabu search
Proceedings of the 32nd conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Feature Article: Optimization for simulation: Theory vs. Practice
INFORMS Journal on Computing
New advances and applications for marrying simulation and optimization
WSC '04 Proceedings of the 36th conference on Winter simulation
Proceedings of the 38th conference on Winter simulation
Discrete Optimization via Simulation Using COMPASS
Operations Research
A framework for locally convergent random-search algorithms for discrete optimization via simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Multi-objective simulation optimization through search heuristics and relational database analysis
Decision Support Systems
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Optimization by exploiting simulation modeling has attracted considerable attention of both academia and simulation software industry. Almost all simulation modeling software has an optimization module. Software vendors either develop custom or implement well known algorithms in their products. Meta-heuristics algorithms are popular due to the ease of adaptation in problem domains. In most simulation software, one or two algorithms are used without letting the user to choose. The purpose of this study is to demonstrate the use of multi meta-heuristics methods in simulation optimization by using a Java based code library; Heuristics Package for Simulations (HePSi). It includes genetic, simulated annealing, and tabu search meta-heuristics algorithms. The user can choose one of these algorithms. It also allows users to partially or completely enumerate in the solution space. We developed HePSi to be used with Simkit discrete-event simulation library. Experimentation with a TSP based test problem is presented.