Improved football game optimization for state estimation and power quality enhancement Abstract   Football game optimization (FGO) is a swarmintelligencebased 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 realtime 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.

Potential Game based Distributed Optimization of Modular Production Units We present a novel approach for distributed optimization of highly flexible, modular production units enabling plugandplay production with online optimization capabilities to adapt fast to changing production requirements. The approach is fully distributed in the sense that each production module to be optimized is equipped with its own optimization agent which local objective is the optimization of its own production objectives. To assure the necessary coordination between the agents, the resulting distributed optimization problem is designed using concepts of game theory. To this end, we model the production environment in terms of a potential game where each module is modeled as a player of the game. By assigning suitable utility functions to the players coordination of the agents behavior is achieved to find an optimal collective behavior. We apply the approach to a laboratory scale distributed bulk good production testbed with very encouraging results. In addition, due to the computational simplicity of the approach, an implementation in IEC61131 compatible code is possible allowing a direct implementation of the approach in existing production units.