A brief review of metaheuristic optimization algorithms based on water intelligence

چکیده مقاله

Metaheuristics are widely recognized as efficient approaches for many hard optimization problems. This paper provides a survey of some of the main metaheuristics. In Other hand classical optimization algorithms are insufficient in large scale combinatorial problems and in nonlinear problems. Hence, metaheuristic optimization algorithms have been proposed. General purpose metaheuristic methods are evaluated in nine different groups: biology-based, physics-based, social-based, music-based, chemical-based, sport-based, mathematics-based, swarm-based, and hybrid methods which are combinations of these. Studies on water in recent years have showed that water exhibit intelligent behavior. Accordingly, it is thought that water have nervous system. In this work, all of the algorithms and applications about water intelligence have been firstly collected and searched. Information is given about water intelligence algorithms such as Intelligent Water Drops, River Formation Dynamics Algorithm, Water Cycle Algorithm, Water Evaporation Optimization, Water Flow Algorithm, Water Wave Optimization.

دریافت لینک دانلود مقاله