On replacement strategies in steady state evolutionary algorithms

Smith, J. (2007) On replacement strategies in steady state evolutionary algorithms. Evolutionary Computation, 15 (1). pp. 29-59. ISSN 1530-9304

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Publisher's URL: http://dx.doi.org/10.1162/evco.2007.15.1.29

Abstract

This is one of a series of papers [e.g. proceedings of FOGA 2001, 2003, Gecco 2001] developing theoretical models of different aspects of complex adaptive systems and exploring their pragmatic utility. The paper provides an analytical synthesis of various different models of the evolution of fitness distributions in a general class of Evolutionary Algorithms. After deriving and comparing the analytical models for different algorithms, it examines their significance as predictors for algorithms' relative optimisation performance. It is shown that certain analytic indicators have little utility, whereas others, developed for the first time here, have significant impact for the designers requiring consistent behaviour.

Item Type:Article
Additional Information:Smith, Jim (2007) On replacement strategies in steady state evolutionary algorithms. Evolutionary Computation, 15 (1). pp. 29-59. ISSN 1530-9304. © 2007 by the Massachusetts Institute of Technology. Available from http://www.mitpressjournals.org/loi/evco
Uncontrolled Keywords:steady state evolutionary algorithms, replacement strategies
Faculty/Department:Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
~Pre-2012 Faculty Structure > Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
~Pre-2010 Faculty Structure > Environment and Technology > Bristol Institute of Technology
~Pre-2012 Faculty Structure > Faculty of Environment and Technology > Artificial Intelligence Group
ID Code:5903
Deposited By: R. Upload account
Deposited On:22 Jan 2010 15:10
Last Modified:25 Nov 2012 22:29

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