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文件名称:psopt20130502b

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    2013-05-05
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    33.31kb
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Particle swarm optimization is a derivative-free global optimum search algorithm based on the collective intelligence of a large group of intercommunicating entities. The individual particles are simple and primitive, knowing only their own current locations and fitness values, their personal best locations, and the swarm s best location. Each particle continually adjusts its trajectory based this information, moving towards the global optimum with each iteration. The swarm as a whole displays a remarkable level of coherence and coordination despite the simplicity of its individual particles. The coordinated behavior of the swarm has been compared with that of a flock of birds or a school of fish.
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下载文件列表

license.txt
psopt/
psopt/license.txt
psopt/private/
psopt/private/heart.m
psopt/private/initstate.m
psopt/private/overlaycontour.m
psopt/private/overlaysurface.m
psopt/private/psocheckbounds.m
psopt/private/psocheckinitialpopulation.m
psopt/private/psocheckpopulationinitrange.m
psopt/private/psocreationbinary.m
psopt/private/psocreationuniform.m
psopt/private/psogenerateoutputmessage.m
psopt/private/psogetinitialpopulation.m
psopt/private/psoiterate.m
psopt/private/psorunhybridfcn.m
psopt/private/quadrifolium.m
psopt/private/unitcircle.m
psopt/private/unitdisk.m
psopt/private/void.m
psopt/pso.m
psopt/psocalculatepenalties.m
psopt/psodemo.m
psopt/psooptimset.m
psopt/psoplotbestf.m
psopt/psoplotscorediversity.m
psopt/psoplotswarm.m
psopt/psoplotswarmsurf.m
psopt/releasenotes.txt
psopt/testfcns/
psopt/testfcns/ackleysfcn.m
psopt/testfcns/binarytestfcn.m
psopt/testfcns/dejongsfcn.m
psopt/testfcns/dropwavefcn.m
psopt/testfcns/griewangksfcn.m
psopt/testfcns/langermannsfcn.m
psopt/testfcns/nonlinearconstrdemo.m
psopt/testfcns/rastriginsfcn.m
psopt/testfcns/rosenbrocksfcn.m
psopt/testfcns/schwefelsfcn.m
psopt/testfcns/templatefcn.m
psopt/testfcns/testfcn1.m

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