RT Conference Proceedings
T1 Exporting Rain-Fall Optimization concepts to Artificial Bee Colony
A1 Encina, Alberto de la
A1 López, Natalia
A1 Rubio Díez, Fernando
AB 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.
SN 978-1-7281-4569-3
YR 2019
FD 2019
LK https://hdl.handle.net/20.500.14352/88646
UL https://hdl.handle.net/20.500.14352/88646
LA eng
NO 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.
DS Docta Complutense
RD 10 abr 2025