Towards an analytic framework for analysing the computation time of evolutionary algorithms

被引:134
作者
He, J [1 ]
Yao, X [1 ]
机构
[1] Univ Birmingham, Sch Comp Sci, Birmingham B15 2TT, W Midlands, England
基金
英国工程与自然科学研究理事会;
关键词
evolutionary algorithms; time complexity; Markov chain; first hitting time;
D O I
10.1016/S0004-3702(02)00381-8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In spite of many applications of evolutionary algorithms in optimisation, theoretical results on the computation time and time complexity of evolutionary algorithms on different optimisation problems are relatively few. It is still unclear when an evolutionary algorithm is expected to solve an optimisation problem efficiently or otherwise. This paper gives a general analytic framework for analysing first hitting times of evolutionary algorithms. The framework is built on the absorbing Markov chain model of evolutionary algorithms. The first step towards a systematic comparative study among different EAs and their first hitting times has been made in the paper. (C) 2003 Published by Elsevier Science B.V.
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页码:59 / 97
页数:39
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