Bees and Genetic Algorithms: A Comparison on a Classic Problem

M. PinninghoffG. AlvarezR. Contreras

Artificial Bee Colony (ABC) is a meta-heuristic inspired by theprocess of food seeking of bees, which is used for finding solutions to a greatvariety of optimization problems. The objective of this work is to implement abee-based algorithm for solving the CVRP, and to compare the obtainedresults, with those shown in the benchmark proposed by Augerat, and aprevious approach that uses genetic algorithms. Results show animprovement in terms of cost of solutions, validating the approach proposed.

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