Improved Cuckoo Search Algorithm for Wind System Optimization

Nowadays, researchers use two different methods to solve optimization problems: exact methods which guarantee to get it an optimal dissolution for a able problem but at the cost of computation time and/or very large memory space. And the approximate methods offering the possibility of finding a solution close to the optimal in a reasonable time. In order to optimize grid-connected wind systems, methods inspired by nature have been used. In this article, we present the method Meta heuristics Inspired by Nature Search of the Cuckoo via the Levy Flights, their classification, as well as their advantages in contribution to the optimization by colonies of ants; and particle swarm optimization, ending with simulation results of the cuckoo method. We discuss the implication of the results and suggestion for further research.