Abstract
Football game optimization (FGO) is a swarm-intelligence-based optimization technique, inspired from the behaviour of football players in finding the best positions with a view of scoring a goal while playing the game. FGO considers only the good players, without accounting the behaviour of offensive players who may cause injuries to other players. This paper presents an improved FGO (IFGO) for enhancing the robustness of the FGO by considering the influence of offensive players and studies the performance of IFGO on two diversified problems. The former one is the static state estimation problem of processing the real-time measurements and providing required database for security control and management of power systems, while the latter one is the optimal design of hybrid active power filter for enhancing the power quality of the system supplying harmonic load. The simulation results on standard test problems exhibit the superiority of the developed IFGO.
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