A Combined MA-GA Approach for Solving Constrained Optimization Problems

Many real world decision processes require to solve optimization problems. In this paper, an integrated multiagent-genetic algorithm (MA-GA) is considered to solve constrained optimization problems. The applied approach is new in the literature for solving constrained optimization problems. Ten benchmark problems are used to test the performance of the approach and the results show impressive performance.