Article

Rigorous Analyses for the Combination of Ant Colony Optimization and Local Search

Authors:

Frank Neumann,

Dirk Sudholt,

Carsten WittAuthors Info & Claims

ANTS '08: Proceedings of the 6th international conference on Ant Colony Optimization and Swarm Intelligence

Pages 132 - 143

https://doi.org/10.1007/978-3-540-87527-7_12

Published: 22 September 2008 Publication History

Abstract

Ant colony optimization (ACO) is a metaheuristic that produces good results for a wide range of combinatorial optimization problems. Often such successful applications use a combination of ACO and local search procedures that improve the solutions constructed by the ants. In this paper, we study this combination from a theoretical point of view and point out situations where introducing local search into an ACO algorithm enhances the optimization process significantly. On the other hand, we illustrate the drawback that such a combination might have by showing that this may prevent an ACO algorithm from obtaining optimal solutions.

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ANTS '08: Proceedings of the 6th international conference on Ant Colony Optimization and Swarm Intelligence

September 2008

414 pages

ISBN:9783540875260

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 22 September 2008

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Aliyu MMurali M Gital ABoukari S(2020)Efficient Metaheuristic Population-Based and Deterministic Algorithm for Resource Provisioning Using Ant Colony Optimization and Spanning TreeInternational Journal of Cloud Applications and Computing10.4018/IJCAC.202004010110:2(1-21)Online publication date: 1-Apr-2020
https://dl.acm.org/doi/10.4018/IJCAC.2020040101
Sudholt DNeumann FSutton A(2016)Theory of Swarm IntelligenceProceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion10.1145/2908961.2926991(715-734)Online publication date: 20-Jul-2016
https://dl.acm.org/doi/10.1145/2908961.2926991
Sudholt DEsparcia-Alcázar A(2015)Theory of Swarm IntelligenceProceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation10.1145/2739482.2756570(451-471)Online publication date: 11-Jul-2015
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Sudholt DArnold D(2014)Theory of swarm intelligenceProceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation10.1145/2598394.2605354(687-708)Online publication date: 12-Jul-2014
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Premalatha CAravindan CKarthikeyan RKannan KSurianarayanan M(2013)A computational model for enhancing recombinant Penicillin G Acylase production from Escherichia coli DH5αComputational Biology and Chemistry10.5555/2772762.277277946:C(39-47)Online publication date: 1-Oct-2013
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Sudholt DMoore J(2012)Theory of swarm intelligenceProceedings of the 14th annual conference companion on Genetic and evolutionary computation10.1145/2330784.2330938(1215-1238)Online publication date: 7-Jul-2012
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Sudholt DThyssen C(2012)A Simple Ant Colony Optimizer for Stochastic Shortest Path ProblemsAlgorithmica10.1007/s00453-011-9606-264:4(643-672)Online publication date: 1-Dec-2012
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Sudholt D(2011)Hybridizing Evolutionary Algorithms with Variable-Depth Search to Overcome Local OptimaAlgorithmica10.5555/3118791.311928659:3(343-368)Online publication date: 1-Mar-2011
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Sudholt DLanzi P(2011)Theory of swarm intelligenceProceedings of the 13th annual conference companion on Genetic and evolutionary computation10.1145/2001858.2002142(1381-1410)Online publication date: 12-Jul-2011
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Sudholt DBeyer HLangdon W(2011)Using markov-chain mixing time estimates for the analysis of ant colony optimizationProceedings of the 11th workshop proceedings on Foundations of genetic algorithms10.1145/1967654.1967667(139-150)Online publication date: 5-Jan-2011
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