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Research on Evolutionary Equation and Other Algorithms of Particle Swarm Optimization

Author: LiuZhenKai
Tutor: LiuSanYang
School: Xi'an University of Electronic Science and Technology
Course: Applied Mathematics
Keywords: Optimization algorithm Particle swarm optimization Immune Algorithm Fuzzy Control Hybrid algorithm strategy
CLC: TP18
Type: Master's thesis
Year: 2010
Downloads: 180
Quote: 0
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Abstract


In today 's large-scale production , multidisciplinary research new ideas to solve optimization problems , biological intelligence or natural phenomena based on a new type of intelligent optimization algorithm showed excellent performance in research and application of modern intelligent algorithm become the field of artificial intelligence a new hotspot this paper focuses on unconstrained optimization problem , particle swarm optimization and artificial immune algorithm . first, through the analysis of the particle swarm evolution equation , to get a general formula of evolution equations . on this basis , the method can be changed by the coefficient wheel 12 similar variant of the PSO equation , including the basic PSO algorithm equation , we study five PSO equation variant . experimental results prove that the method is feasible . Secondly, through the study of immune algorithm mutation operator , based on the fuzzy control in the form of space for real-coded immune algorithm based on the combination of particle swarm algorithm variogram , in turn, can build a hybrid immune particle swarm optimization .

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CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Artificial intelligence theory
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