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Fitness Landscape Analysis of Simulation Optimisation Problems with HeuristicLab

By Vitālijs Boļšakovs, Erik Pitzer and Michael Affenzeller

Abstract

In this paper the fitness landscape of a simulation optimisation problem is analysed within the metaheuristic optimisation framework HeuristicLab. Computational experiments are performed within an application prototype of a link between the model of a vehicle scheduling problem and the optimisation framework. Modern fitness landscape analysis approaches implemented in the HeuristicLab framework are applied and described. New insights are gained in the field of fitness landscapes analysis for stochastic problems. Application of fitness landscape analysis in simulation optimisation for meta-optimisation purposes is also considered in this paper. Comprehensive fitness landscape analysis of different instances of one type of optimisation problem and its results in comparison with results of optimisation experiments allows determining the impact of different landscape structures on the behaviour of different metaheuristic optimisation algorithms

Topics: simulation optimisation; fitness landscape analysis; vehicle scheduling; optimisation framework; metaheuristics
Publisher: IEEE Computer Society Conference Publishing Services
OAI identifier: oai:ortus.rtu.lv:11562
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