Title:
Adaptiveconstrainedparticleswarm Download
Description: Considering that theparticleswarmoptimization( PSO) algorithmcanbeeasily trappedinto the
local minimal valueinconstrainedoptimizationproblems, amodifiedconstrainedparticleswarmoptimiza
tionalgorithmwasproposed. Theobjective functionvalue andthe violationvalue of constraint functions
wereeffectively combinedto formtwofitnesses, andthefitnesseswereadoptedto estimate if theparticle
wassuperior or not ina dynamicway. Theadaptiveweight functionwasadoptedinthe calculationof the
violationvalue. The strategy of keeping anadaptive relationof weight coefficientswasproposed, andthe
strategyof swarmtournament selectionwasimproved. Theapplicationlocalizationsof thesinglefitnessof
PSOwerewidenedaswell. ThemodifiedconstrainedPSOalgorithmwasappliedtosolveenergyoptimiza
tionproblemsof theurbanwater supplyprocess, whichshowedthat theconvergent speedof thealgorithm
isfast andthe result isvalid. Afeasibleapproachto solvetheindustrial constraint optimizationproblems
withPSOwasprovided.
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