Dissipative Particle Swarm Optimization (DPSO) is developed according to the self-organization of dissipative structure.

耗散粒子群算法是一种结合自组织耗散理论的粒子群算法。

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This thesis introduces Discrete Particle Swarm Optimizer (DPSO) Algorithm to solve the fleet assignment problem. Firstly, the characterization of the fleet assignment is analyzed.

本文将进化算法引入飞机排班问题，研究并实现了基于离散型粒子群算法的飞机排班系统。

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On the basis of analyzing the particle swarm optimization and introducing the idea of sub-swarms, a particle swarm optimization algorithm with dynamic sub-swarms (DPSO) is proposed.

在分析基本微粒群优化算法的基础上，引进分群思想，提出了一种动态分群的微粒群优化算法(DPSO)。

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