Rabanal Basalo, Pablo ManuelRodríguez Laguna, IsmaelRubio Díez, Fernando2023-06-172023-06-1720190302-974310.1007/978-3-030-20518-8_68https://hdl.handle.net/20.500.14352/12830River Formation Dynamics (RFD) is a metaheuristic that has been successfully used by different research groups to deal with a wide variety of discrete combinatorial optimization problems. However, no attempt has been done to adapt it to continuous optimization domains. In this paper we propose a first approach to obtain such objective, and we evaluate its usefulness by comparing RFD results against those obtained by other more mature metaheuristics for continuous domains. In particular, we compare with the results obtained by Particle Swarm Optimization, Artificial Bee Colony, Firefly Algorithm, and Social Spider Optimization.engAtribución-NoComercial-SinDerivadas 3.0 Españahttps://creativecommons.org/licenses/by-nc-nd/3.0/es/journal articlehttps://doi.org/10.1007/978-3-030-20518-8_68open accessSwarm IntelligenceMetaheuristicsOptimizationRiver Formation DynamicsInteligencia artificial (Informática)Programación de ordenadores (Informática)Software1203.04 Inteligencia Artificial1203.23 Lenguajes de Programación3304.16 Diseño Lógico