Modified Differential Evolution for Hard Constrained Optimization
Changshou Deng, Bingyan Zhao, Anyuan Deng, Changyong Liang · 2009
Hard constrained optimization problems in science and engineering are common computationally very expensive. This leads to serious impediment to the successful application of evolutionary optimization techniques. A modified Differential Evolution with hybrid mutation and new selection rules was proposed to solve the hard constrained optimization problem. The hybrid mutation is the linear combination of two different traditional mutations schemes using simulated annealing way. The new selection rule can handle the constraints directly without choosing the penalty factors difficultly. The simulation results on the Bump function show it is effective and robust way for solving the hard constrained optimization.