huang
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：237KB
下载次数：121
上传日期：2012-03-07 14:07:30
上 传 者：
muqiuqiu
说明： CLPSO多目标，成功的应用PSO解决多目标问题，目前来说，该算法是PSO解决多目标问题的典范，可以做进一步的参考
(Comprehensive Learning Particle Swarm Optimizer for Solving Multiobjective Optimization Problems)
文件列表:
huang\IJIS-MOCLPSO-Feb-06.pdf (269188, 2010-08-15)
huang\MOCLPSO2108\converge.m (196, 2004-11-24)
huang\MOCLPSO2108\diversity.m (396, 2004-12-27)
huang\MOCLPSO2108\FON (17500, 2005-08-21)
huang\MOCLPSO2108\fun.m (469, 2005-08-22)
huang\MOCLPSO2108\matdelete.m (245, 2005-08-21)
huang\MOCLPSO2108\MOCLPSO_func.m (4472, 2005-08-22)
huang\MOCLPSO2108\moclpso_testfn.m (593, 2005-08-22)
huang\MOCLPSO2108\mopso_crowding_distance.m (483, 2005-01-10)
huang\MOCLPSO2108\non_dominated_con.m (1666, 2005-03-14)
huang\MOCLPSO2108\non_dominate_ins_del_con_hl.m (1102, 2005-08-22)
huang\MOCLPSO2108\non_dominate_ins_del_hl.m (758, 2005-08-21)
huang\MOCLPSO2108\n_dom2c.m (837, 2005-08-21)
huang\MOCLPSO2108\SCH (17500, 2005-08-21)
huang\MOCLPSO2108\ZDT1 (17500, 2005-08-21)
huang\MOCLPSO2108 (0, 2011-10-06)
huang (0, 2011-10-06)
This program is for MOCLPSO.
The Main function file is MOCLPSO_func.m.
function [nds,nds_val,feval_count]=MOCLPSO_func(p,NP,max_rep_size,feval_max)
----------------
Output arguments:
----------------
nds: non_dominated solutions
nds_val: fitness of non_dominated solutions
feval_count: fitness evaluations
---------------
Input arguments:
---------------
p: No. of Test problem
8: SCH
9: FON
11:ZDT1
NP: population size
max_rep_size: archive size
feval_max: max fitness evaluations
Example:
[nds,nds_val,feval_count]=MOCLPSO_func(11,50,100,10000)
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