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Keyword: Hybrid metaheuristicOpen AccessArticle
22 Pages, 430 KB 
A Comparative Study of a Hybrid Ant Colony Algorithm MMACS for the Strongly Correlated Knapsack Problem
Abstract:
Metaheuristic hybridization has recently been widely studied and discussed in many research works as it allows benefiting from the strengths of metaheuristics by combining adequately the different algorithms. MMACS is a new hybrid ant colony optimization algorithm based on the foraging behavior of ants. This algorithm presents two hybridization levels. The first hybridization consists in…
Read More(This article belongs to the SP5 (Special Issue on Multidisciplinary Sciences and Engineering 2018) & Section Interdisciplinary Applications of Computer Science (CSI))