The proposed algorithm is almost as simple for implement as particle swarm optimizer, but can improve the abilities of seeking the global excellent result and evolution speed.
该算法基本保持了粒子群优化算法简单容易实现的特点，但改善了粒子群优化算法摆脱局部极值点的能力，提高了算法的收敛速度和精度。
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。
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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