The scientific fields’ deals with day to day problems, like economic planning and engineering design, mostly are disconnected, high dimensional, multimodal and oscillated optimization problems. These complex problems cannot be solved well within reasonable time using conventional process based on gradient. The natural phenomenon motivates and animal group behavior characteristics, the investigators have anticipated many efficient natural heuristic algorithms for high-dimensional complex optimization problems in real-world. This manuscript deals with one of the meta-heuristic algorithm, Whale Swarm Optimization algorithm (WSO) and compares the performance with RMS prop optimization techniques.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.