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服装智能排料粒子群算法的改进研究
引用本文:黄灿艺.服装智能排料粒子群算法的改进研究[J].郑州轻工业学院学报(自然科学版),2011(4):76-78,120.
作者姓名:黄灿艺
作者单位:泉州师范学院工商信息学院;
基金项目:泉州师范学院项目(2010KJ12)
摘    要:针对服装智能排料问题提出一种改进的粒子群算法,对粒子群算法的速度分项加入一个参数惯性权值w,并将改进结果在VS 2005平台下用C++进行试验论证.结果表明:使用改进的粒子群算法,服装面料的利用率较高,且运行时间接近最优.

关 键 词:服装智能排料  遗传算法  模拟退火算法  改进粒子群算法

Research of improved particle swarm algorithm for apparel intelligent marker making
HUANG Can-yi.Research of improved particle swarm algorithm for apparel intelligent marker making[J].Journal of Zhengzhou Institute of Light Industry(Natural Science),2011(4):76-78,120.
Authors:HUANG Can-yi
Affiliation:HUANG Can-yi(College of Business and Infor.,Quanzhou Normal Univ.,Quanzhou 362000,China)
Abstract:Aimming at the problem of apparel intelligent marker making,an improved particle swarm algorithm was put forward based on analyzing the merit and demerit of genetic algorithm,inertia parameter w was added to the speed item of particle swarm algorithm.Furthermore,a demonstration test is done by C++ under the environment of VS 2005.The result indicated that the improved particle swarm algorithm can achieve ideal material utilization,and running time is close to the best.
Keywords:apparel intelligent marker making  genetic algorithm  simulated annealing algorithm  improved particle swarm algorithm  
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