Improved DE/EDA algorithm for difficult COPs
改进DE/EDA算法在求解难约束优化问题中的应用研究*

Bump function is the most difficult to solve in the 13 Benchmark functions about the constrained optimization problems. It is solved by a improved DE / EDA algorithm, which used a simple penalty function operator to improve the DE / EDA algorithm. Simulation results show that the solutions of improved DE/EDA algorithm is better than those of other algorithms in the literatures when solving the Bump function. The convergence of improved DE/EDA algorithm is faster than that of DE and solution is also better.