A New Ant Colony Algorithm Using the Heterarchical Concept Aimed at Optimization of Multiminima Continuous Functions

Ant colony algorithms are a class of metaheuristics which are inspired from the behaviour of real ants. The original idea consisted in simulating the trail communication, therefore these algorithms are considered as a form of adaptive memory programming. A new formalization is proposed for the desig...

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Hauptverfasser:	Dréo, Johann, Siarry, Patrick
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Algorithmics. Computability. Computer arithmetics Analytical Test Function Applied sciences Biological Notion Communication Channel Computer science control theory systems Exact sciences and technology Flows in networks. Combinatorial problems Operational research and scientific management Operational research. Management science Particle Swarm Optimization Pheromonal Trail Theoretical computing
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Beschreibung
Zusammenfassung:	Ant colony algorithms are a class of metaheuristics which are inspired from the behaviour of real ants. The original idea consisted in simulating the trail communication, therefore these algorithms are considered as a form of adaptive memory programming. A new formalization is proposed for the design of ant colony algorithms, introducing the biological notions of heterarchy and communication channels.
ISSN:	0302-9743 1611-3349
DOI:	10.1007/3-540-45724-0_18