Future paths for integer programming and links to artificial intelligence
Computers and Operations Research - Special issue: Applications of integer programming
Programming combined discrete-continuous simulation models for performance
WSC '96 Proceedings of the 28th conference on Winter simulation
Modified iterated simulated annealing algorithm for structural synthesis
Advances in Engineering Software - design optimization
Modeling, simulation, sensitivity analysis, and optimization of hybrid systems
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Metaheuristics in combinatorial optimization: Overview and conceptual comparison
ACM Computing Surveys (CSUR)
General methodology 1: a robust simulation-based multicriteria optimization methodology
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Simulation-based optimization: practical introduction to simulation optimization
Proceedings of the 35th conference on Winter simulation: driving innovation
Issues in development of simultaneous forward-inverse metamodels
WSC '05 Proceedings of the 37th conference on Winter simulation
An advanced supply chain management tool based on modeling and simulation
Computers and Industrial Engineering
An efficient simulated annealing algorithm for design optimization of truss structures
Computers and Structures
SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
Hybrid algorithm for discrete event simulation based supply chain optimization
Expert Systems with Applications: An International Journal
PADS '11 Proceedings of the 2011 IEEE Workshop on Principles of Advanced and Distributed Simulation
Optimal design for urban mass transit network based on evolutionary algorithms
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Generation of optimal schedules for metro lines using model predictive control
Automatica (Journal of IFAC)
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This paper presents a method for solving the optimization problems that arise in hybrid systems. These systems are characterized by a combination of continuous and discrete event systems. The proposed method aims to find optimal design configurations that satisfy a goal performance. For exploring design parameter space, the proposed method integrates a metamodel and a metaheuristic method. The role of the metamodel is to give good initial candidates and reduced search space to the metaheuristic optimizer. On the other hand, the metaheuristic method improves the quality of the given candidates. This proposal also demonstrates a defense system that illustrates the practical application of the presented method. The optimization objective of the case study is to find the required operational capability configurations of a decoy that meet the desired measure of effectiveness. Through a comparison with a full search method, two metamodeling methods without the aid of metaheuristics and a metaheuristic method without the support of metamodels, we confirmed that the proposed method provides same high-quality solutions as those of the full search method at a small computational cost.