Open AccessPerformance Analysis of Cost and Accuracy for Whale Swarm and RMSprop Optimizer
Author(s) -
D. Vijendra Babu,
C. Karthikeyan,
Shreya Shreya,
Abhishek Kumar
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/993/1/012080
Subject(s) - whale , swarm behaviour , heuristic , computer science , mathematical optimization , metaheuristic , optimization algorithm , meta heuristic , multi swarm optimization , process (computing) , optimization problem , artificial intelligence , algorithm , mathematics , ecology , biology , operating system
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.