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离散复杂系统最优化具有广泛的理论和应用背景．基于对现实自然和社会进化中Ｄａｒｗｉｎ过程和不可逆热动力过程的分析，本文提出并构造了一类新的求解离散复杂系统最优化问题的随机方法—— Ｄａｒｗｉｎ＆ Ｂｏｌｔｚｍａｎｎ混合寻优策略．分析和计算结果表明，Ｄａｒｗｉｎ＆ Ｂｏｌｔｚｍａｎｎ混合策略求解离散复杂系统最优化问题是有效的且优于模拟退火法．本文的工作无疑为离散复杂系统最优化的分析和求解提供了新的途径．
Discrete complex system optimization has a wide range of theoretical and application background. Based on the analysis of Darwin process and irreversible thermodynamic process in the real world and in the evolution of society, a new type of stochastic Darwin & Boltzmann hybrid optimization strategy is proposed and constructed for solving the optimization problem of discrete complex systems. The analysis and calculation results show that Darwin & Boltzmann hybrid strategy is effective and better than simulated annealing in solving discrete-time complex system optimization problems. The work in this paper will undoubtedly provide a new way to analyze and solve the optimization of discrete complex systems.