Crowding Population-based Ant Colony Optimisation for the Multi-objective Travelling Salesman Problem

Ant inspired algorithms have gained popularity for use in multi-objective problem domains. One specific algorithm, Population-based ACO, which uses a population as well as the traditional pheromone matrix, has been shown to be effective at solving combinatorial multi-objective optimisation problems....

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Veröffentlicht in:	2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making, Honolulu, HI, 1-5 April 2007 S. 333 - 340
1. Verfasser:	Angus, D.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.04.2007
Schlagworte:	Ant colony optimization Communications technology Competitive intelligence Computational intelligence Decision making Information technology Intelligent systems Laboratories Testing Traveling salesman problems
ISBN:	9781424407026, 1424407028
Online-Zugang:	Volltext
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