Exploratory Analysis of Stochastic Local Search Algorithms in Biobjective Optimization

Abstract

This chapter introduces two Perl programs that implement graphical tools for exploring the performance of stochastic local search algorithms for biobjective optimization problems. These tools are based on the concept of the empirical attainment function (EAF), which describes the probabilistic distribution of the outcomes obtained by a stochastic algorithm… (More)

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Cite this paper

@inproceedings{LpezIbez2009ExploratoryAO, title={Exploratory Analysis of Stochastic Local Search Algorithms in Biobjective Optimization}, author={Manuel L{\'o}pez-Ib{\'a}{\~n}ez and Thomas St{\"{u}tzle}, year={2009} }