global optimization problem, differential evolution, adaptive differential evolution

A new idea of dealing with population in efficient and well-known optimization algorithm of differential evolution is applied and studied in adaptive version jDE of that algorithm. The basis of the proposed approach is to maintain the diversity of the population through the whole search process. The proposed modifications of jDE are experimentally tested and compared with original algorithm on benchmark set developed for optimization competition held on IEEE World Congress on Computational Intelligence.