Perbandingan Penggunaan Social Learning dan Tanpa Social Learning pada Soccer Game Optimization Tanpa Subtitute Player

Abstract

Soccer Game Optimization (SGO) adalah satu metode Metaheuristic yang relative baru. Metode ini menggunakan pergerakan dasar sebagai analoginya. Metode Soccer Game Optimization memiliki dua komponen dasar, move off dan move forward. Penelitian ini membandingkan performa Soccer Game Optimization dengan Social Learning dan tanpa Social Learning. Berdasarkan eksperimen didapatkan hasil SGO tanpa Social Learning lebih baik daripada Soccer Game Optimization dengan Social Learning

Soccer Game Optimization (SGO) is a new of Metaheuristic method that uses football player as its analogy. The method consist of two fundamental component, ‘move off’ and ‘move forward’. This research aims to compare the performance of Soccer Game Optimization using Social Learning and without Social Learning. The experiment result on 10 continuous benchmark problems show that the SGO without Social Learning perform better than the SGO with Social Learning