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。
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