Multi-Objective Optimization Using Cuckoo Optimization Algorithm: A Game Theory Approach

This paper presents an application of Cuckoo Optimization Algorithm (COA) in game theory and multi-objective optimization problems. The recently introduced COA has proven its excellent capabilities, such as faster convergence and better global optimum achievement over conventional optimization algorithms. In this paper COA is used to find Nash Equilibrium points of nonlinear non-cooperative games. The introduced method can also be used as an alternative approach to solve multi-objective optimization problems. The effectiveness of the proposed method, in comparison to genetic algorithm and Colonial Competitive Algorithm (CCA), is proven through several static and dynamic example games and also multi-objective problems.