A Novel Integrated Heuristic Optimizer Using a Water Cycle Algorithm and Gravitational Search Algorithm for Optimization Problems

This paper presents a novel composite heuristic algorithm for global optimization by organically integrating the merits of water cycle (WCA) and gravitational search (GSA). To effectively reinforce exploration exploitation algorithms reasonably achieve their balance, modified WCA is first put forward to strengthen its performance introducing concept basin, where position solution also considered into assignment sea or river streams, number guider solutions adaptively reduced during process. Furthermore, enhanced cooperated with new based on historical within certain stage. Moreover, binomial crossover operation incorporated after further improve capability algorithm. Finally, proposed evaluated comparing six excellent meta-heuristic IEEE CEC2014 test suite, numerical results indicate that very competitive.