New dynamical evolutionary algorithm based on the principle of free energy minimization of thermodynamics

作者：Xuan, Wang^*; Li, Yuanxiang

来源：Dynamics of Continuous Discrete and Impulsive Systems: Series B; Applications and Algorithms , 2006, 13: 181-185.

• evolutionary algorithm
• single-objective optimization
• convergence and diversity

As a key technique of computational intelligence, evolutionary computation has attracted increasing interest because of its advantages of self-adaptation, parallelism, and robustness in solving complex and nonlinear problems. Based on the review of recent development of evolutionary computation and the principle of free energy minimization of thermodynamics, a new dynamical evolutionary algorithm (DEA) for solving single-objective optimization problems is proposed. The algorithm is used to solve some global optimal problems and satisfactory numerical results are achieved. The results show that DEA is of potential to obtain global optimum or more accurate solutions than other evolutionary methods.

• 出版日期2006-12
• 单位华中师范大学; 武汉大学