The Aircraft Departure Scheduling Based on Second-order Oscillating Particle Swarm Optimization Algorithm

被引：0
作者：
Lei, Xiujuan [1 ,2 ]
Fu, Ali [1 ]
Shi, Zhongke [3 ]
机构：
[1] Shaanxi Normal Univ, Xian, Peoples R China
[2] Northwestern Polytech Univ, Coll Automat, Fremont, CA USA
[3] Northwestern Polytech Univ, Fremont, CA USA
来源：
2008 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-8 | 2008年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The second-order oscillating particle swarm optimization(SO-PSO) algorithm, which introduced the second-order oscillating evolutionary equation to the evolutionary equation of PSO, could adjust the particles' global and local search capability and avoid the local optimization. It was proposed to solve a mathematical model which was built for aircraft departure sequencing problem in this paper. The correlative implementation techniques and detailed design process of the algorithm were presented. Then the simulation was performed to solve this sequencing problem using the SO-PSO algorithm. The results showed that the global optimal solution was obtained, so the SO-PSO algorithm was rational and feasible and curtailed the consumption of aircraft departure effectively.
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页码：1399 / +
页数：2
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