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Exporting Rain-Fall Optimization concepts to Artificial Bee Colony

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2019

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A. d. l. Encina, N. López and F. Rubio, "Exporting Rain-Fall optimization concepts to Artificial Bee Colony," 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), Bari, Italy, 2019, pp. 2047-2052, doi: 10.1109/SMC.2019.8913988.

Abstract

In this paper we take inspiration from RainFall Optimization metaheuristic (RFO) to modify other metaheuristics. An interesting concept of RFO is its merit list. We argue that this concept could be successfully exported to other metaheuristics. As a concrete case study, we have implemented a modified version of Artificial Bee Colony (ABC) including merit lists. The experiments we have conducted with a concrete wellknown benchmark show that it can help improving the quality of the solutions found by ABC.

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