Single-search-based heuristics for multiobjective optimization

Ehrgott, Matthias (2010) Single-search-based heuristics for multiobjective optimization. In: Wiley encyclopedia of operations research and management science. John Wiley & Sons, Hoboken, N.J.. ISBN 9780470400531

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Abstract

This article explains the single-search-based heuristics for multiobjective optimization. The most prominent heuristics of multiobjective simulated annealing, multiobjective tabu search, and Pareto local search are each explained with a detailed pseudocode and further summaries of algorithmic ideas. This is followed by a brief review of hybrid heuristics combining features of single search and population-based heuristics. The article ends with brief conclusions and suggestions for further reading.

Item Type:
Contribution in Book/Report/Proceedings
ID Code:
64420
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Deposited On:
10 May 2013 10:52
Refereed?:
No
Published?:
Published
Last Modified:
10 May 2020 23:42