关键词: 热力学演化算法, Shubert函数优化问题, 收敛性和多样性

Abstract: Based on the review of recent development of evolutionary computation and the principle of free energy minimization of thermodynamics, a new thermodynamics evolutionary algorithm for solving Shubert function optimization problem was proposed. The numerical experiments were conducted to measure the performance of thermodynamics evolutionary algorithm. The results show that thermodynamics evolutionary algorithm is of potential to obtain global optimum or more accurate solutions than other evolutionary methods.

Key words: thermodynamics evolutionary algorithm, Shubert function optimization problem, convergence and diversity