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 :
بازگشت