ČECH Martin VŠB - Technická univerzita

Spoluautoři VILAMOVÁ Šárka

Ant colony optimization uses algorithms inspired by the foraging behaviour of real ants in the wild. Ant colony algorithms aim at finding approximate, near optimal, solutions to optimisation problems through the use of artificial ants and their communication via synthetic feromone called stigmergy. As a part of bio-inspired optimization methods are these metaheuristics generating considerable interest for solving real world problems therefore are widely investigated across many different science branches. The aim of this paper is to presents the overview of recent application in metallurgy. Other related real world applications providing inspiration for metallurgy optimization in the context with further research suggestions are also presented.

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