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Abstract
This paper introduces drift analysis and its applications in estimating average computation time of evolutionary algorithms. Firstly, drift conditions for estimating upper and lower bounds of the mean first hitting times of evolutionary algorithms are presented. Then drift analysis is applied to two specific evolutionary algorithms and problems. Finally, a general classification of easy and hard problems for evolutionary algorithms is given based on the analysis.

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.135.662
Source http://www.cs.bham.ac.uk/~jxh/2004nc.pdf
Contributors CiteSeerX
Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Keywords volutionary Computation, Algorithm Analysis, Combinatorial Optimisation, Meta-Heuristicsvolutionary Computation, Algorithm Analysis, Combinatorial Optimisation, Meta-HeuristicsE
Type text
Language English
Relation 10.1.1.29.2470, 10.1.1.84.2394, 10.1.1.114.4306, 10.1.1.41.2161, 10.1.1.118.4632, 10.1.1.127.6004