Title :
Comparative Analysis of Statistical and Information Measures for Benchmark Fitness Landscapes
Author :
Merkuryeva, Galina ; Bolshakovs, Vitalijs
Author_Institution :
Dept. of Modelling & Simulation, Riga Tech. Univ., Riga, Latvia
Abstract :
Various techniques of fitness landscape analysis for the determination of optimisation problem hardness for evolutionary algorithms are proposed in the literature. However, a few implementations of these techniques and their application in practice are described nowadays. In this paper fitness landscapes of benchmark fitness functions are analysed. Statistical and information measures of fitness landscapes are briefly described. Measures of both types are calculated and interpreted for this benchmark landscapes. Detailed calculations of performed experiments are provided and analysed in this paper. The obtained results will allow estimating hardness of different potential optimisation problems for application of the evolutionary algorithms. Conclusions about the influence of conditions and parameters of the fitness landscape analysis techniques on the results that could be achieved also are made.
Keywords :
evolutionary computation; optimisation; statistical analysis; benchmark fitness landscape analysis; evolutionary algorithms; information measures; optimisation problem hardness determination; statistical comparative analysis; fitness landscape; fitness landscape analysis; genetic algorithm; information measures; statistical measures;
Conference_Titel :
Computer Modeling and Simulation (EMS), 2010 Fourth UKSim European Symposium on
Conference_Location :
Pisa
Print_ISBN :
978-1-4244-9313-5
Electronic_ISBN :
978-0-7695-4308-6
DOI :
10.1109/EMS.2010.27