Football Optimization: An Algorithm for Optimization Inspired by Football game

In this paper, a novel technique is proposed for optimization inspired by the football game. Like other evolutionary ones, the proposed algorithm starts with an initial population called team. Population individuals called players are in two types: main players and substitute players. Teamwork among these players forms the basis of the proposed evolutionary algorithm. During this Cooperation, main players pass the ball together and moving into free space. In addition,they move randomly by spectators’ effect and per iteration replace weakest main players with best substitute players. This cycle is repeated until a termination condition has been reached. As consequence, by applying the proposed algorithm to some of benchmark cost functions and problems, its ability indealing with different types of optimization problems has been observe. The proposed evolutionary Algorithm as an Optimization method is competitive in optimizing the many fields like football game