DocumentCode
3029955
Title
Fitness Landscape Analysis of a Simulation Optimisation Problems with HeuristicLab
Author
Bolshakov, Vitaly ; Pitzer, Erik ; Affenzeller, Michael
Author_Institution
Dept. of Modelling & Simulation, Riga Tech. Univ., Riga, Latvia
fYear
2011
fDate
16-18 Nov. 2011
Firstpage
107
Lastpage
112
Abstract
In this paper the fitness landscape of a simulation optimisation problem is analysed within the metaheuristic optimisation framework Heuristic Lab. 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 Heuristic Lab 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.
Keywords
optimisation; scheduling; transportation; HeuristicLab framework; fitness landscape analysis; metaheuristic optimisation; simulation optimisation problem; stochastic problem; vehicle scheduling problem; Analytical models; Correlation; Encoding; Noise; Optimization; Stochastic processes; Vehicles; fitness landscape analysis; metaheuristics; optimisation framework; simulation optimisation; vehicle scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Modeling and Simulation (EMS), 2011 Fifth UKSim European Symposium on
Conference_Location
Madrid
Print_ISBN
978-1-4673-0060-5
Type
conf
DOI
10.1109/EMS.2011.14
Filename
6131197
Link To Document