Performance evaluation of an advanced local search evolutionary algorithm

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Performance evaluation of an advanced local search evolutionary algorithm (2005)

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by Nikolaus Hansen , Anne Auger , Anne Auger

Venue:	In Proceedings of the IEEE Congress on Evolutionary Computation
Citations:	61 - 17 self

BibTeX

@INPROCEEDINGS{Hansen05performanceevaluation,
    author = {Nikolaus Hansen and Anne Auger and Anne Auger},
    title = {Performance evaluation of an advanced local search evolutionary algorithm},
    booktitle = {In Proceedings of the IEEE Congress on Evolutionary Computation},
    year = {2005},
    pages = {1777--1784},
    publisher = {IEEE Press}
}

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Abstract

Abstract- One natural question when testing performance of global optimization algorithm is: how performances compare to a restart local search algorithm. One purpose of this paper is to provide results for such comparisons. To this end, the performances of a restart (advanced) local-search strategy, the CMA-ES with small initial step-size, are investigated on the 25 functions of the CEC 2005 real-parameter optimization test suit. The second aim is to clarify the theoretical background of the performance criterion proposed to quantitatively compare the search algorithms. The theoretical analysis allows us to generalize the criterion proposed and to define a new criterion that can be applied more appropriate in a different context. 1

Keyphrases

performance evaluation advanced local search evolutionary algorithm theoretical analysis search algorithm theoretical background restart local search algorithm real-parameter optimization test suit second aim performance criterion local-search strategy new criterion global optimization algorithm different context natural question small initial step-size

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