Description
Title: Population Structure Emergence in Socially Inspired Ant Colony Optimization
Abstract: When compared to traditional ACO, a metaheuristic we recently proposed, Ant Colony Optimization (ACO) combined with socio-cognitive inspirations, produced interesting results. It frequently finds less-than-ideal solutions to the problems being considered, even though it sometimes finds better solutions. Additionally, our method relies on predicted species-to-species ant migration strategies rather than a trial-and-error method to con gure the parameters of the ant species in the population. Our method’s experimental findings are contrasted with those of the traditional ACO and a few socio-cognitive iterations of this algorithm.
Keywords: ant colony optimization, socio-cognitive systems, discrete optimization, emergence
Paper Quality: SCOPUS / Web of Science Level Research Paper
Paper type: Analysis Based Research Paper
Subject: Computer Science
Writer Experience: 20+ Years
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