基于正弦调整的粒子群算法应用于换热网络

›› 2016, Vol. 29 ›› Issue (4): 37-.

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Particle Swarm Optimization (PSO) with Sinusoidal Changing Inertia Weight for Heat Exchange Network Synthesis

ZHOU Jing,CUI Guomin,PENG Fuyu,XIAO Yuan

(Research Institute of New Energy Science and Technology,University of Shanghai for Science and Technology,Shanghai 200093,China)

Online:2016-04-15 Published:2016-04-26

Abstract

Abstract:

The local optimum often arises when the Particle Swarm Optimization (PSO) optimization is used to optimize heat exchanger networks synthesis problems.The orthogonal experiments in population size,iterative steps,maximum velocity and the inertia weight show that the inertia weight is an important factor in the PSO improvement.Based on a comprehensive analysis of the standard PSO algorithm,this paper proposes a strategy of inertia weight according to the sinusoid.The performance of the algorithm is verified using the standard test functions.The presented case reveals the effectiveness of the proposed strategy in the heat exchange network synthesis.

Key words: particle swarm optimization;orthogonal experiment;sine change;heat exchanger network synthesis

CLC Number:

TP306.1

ZHOU Jing,CUI Guomin,PENG Fuyu,XIAO Yuan. Particle Swarm Optimization (PSO) with Sinusoidal Changing Inertia Weight for Heat Exchange Network Synthesis[J]., 2016, 29(4): 37-.

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Particle Swarm Optimization (PSO) with Sinusoidal Changing Inertia Weight for Heat Exchange Network Synthesis

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