文件名称:pos
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改进后的粒子群算法，可用于求解规划问题，路径问题和相关多目标组合优化问题-The improved particle swarm optimization (pso) algorithm, can be used to solve the planning problem, the routing problem and the relevant multi-objective combinatorial optimization problem
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下载文件列表
sdnchen-psomatlab-b4c4a1e
.........................\evolutioncomplete.m
.........................\license.txt
.........................\private
.........................\.......\heart.m
.........................\.......\initstate.m
.........................\.......\overlaycontour.m
.........................\.......\overlaysurface.m
.........................\.......\psocheckbounds.m
.........................\.......\psocheckinitialpopulation.m
.........................\.......\psocheckpopulationinitrange.m
.........................\.......\psocreationbinary.m
.........................\.......\psocreationuniform.m
.........................\.......\psogenerateoutputmessage.m
.........................\.......\psogetinitialpopulation.m
.........................\.......\psorunhybridfcn.m
.........................\.......\quadrifolium.m
.........................\.......\unitcircle.m
.........................\.......\unitdisk.m
.........................\.......\void.m
.........................\pso.m
.........................\psobinary.m
.........................\psoboundsabsorb.m
.........................\psoboundspenalize.m
.........................\psoboundsreflect.m
.........................\psoboundssoft.m
.........................\psocalculatepenalties.m
.........................\psodemo.m
.........................\psoiterate.m
.........................\psooptimset.m
.........................\psoplotbestf.m
.........................\psoplotscorediversity.m
.........................\psoplotswarm.m
.........................\psoplotswarmsurf.m
.........................\README.md
.........................\releasenotes.txt
.........................\testfcns
.........................\........\ackleysfcn.m
.........................\........\binarytestfcn.m
.........................\........\dejongsfcn.m
.........................\........\dropwavefcn.m
.........................\........\griewangksfcn.m
.........................\........\langermannsfcn.m
.........................\........\nonlinearconstrdemo.m
.........................\........\rastriginsfcn.m
.........................\........\rosenbrocksfcn.m
.........................\........\schwefelsfcn.m
.........................\........\templatefcn.m
.........................\........\testfcn1.m