A Novel Method for Optimization in Professional Soccer Team Using Elephant Herd Algorithm

Elephant herding optimization (EHO) is one of the relatively new and latest metaheuristic swarm-based optimization techniques to solve problems based on how effectively we can optimize. The EHO algorithm's primary behavioral aspects are derived from the herding techniques that are followed by elephants which are considered one of the largest mammals living and their sophisticated socio-aspect behavioral traits which are followed by them, in due course of daily living with various basic concepts revolving upon various types of individuals in participation with the herd. The herding behaviour in elephants is basically that of elephants belonging to different clans which are headed by one leader termed as the matriarch. Another important aspect of EHO is that of separator aspects of male elephants when grown-ups tend to leave their respective clans and will be individuals but will be in touch with the clans using supersonic sounds. These terms are very much relevant to how the soccer club works at a professional level. In a soccer club, every player is part of a club which can be as same as that of a clan in EHO. The optimal solutions obtained through EHO in soccer showed a strong finding capability towards finding an optimal solution as in the functions P01, P03, and P05. It is conclusive that EHO has shown tremendous ways of finding the best fitness value and finding player separation from a team.