基于Goose LDW-PSO的管壳式换热器优化设计

管壳式换热器在工业中的应用越来越广泛,对于设计者和使用者来说使其费用最小化是一个很重要的目标。本文以最小化管壳式换热器的总费用为优化目标,提出了运用基于雁群启示的惯性权重线性下降粒子群优化算法(Goose LDW-PSO)对其进行优化设计。为了验证这种方法的有效性,用Goose LDW-PSO对管壳式换热器进行了优化设计,并与原始设计结果进行了比较。比较结果表明,虽然管子数目增加,但是换热器的总费用比传统方法少了很多。

DESIGN AND OPTIMIZATION OF SHELL-AND-TUBE HEAT EXCHANGER BY GOOSE LDW-PSO

Shell-and-tube heat exchangers are widely used in industrial processes,and minimizing their cost is an important target for both designers and users.This paper proposes a procedure for the optimal design of shell-and-tube heat exchangers based on Goose Linearly Decreasing Inertia Weight-Particle Swarm Optimization Algorithm(Goose LDW-PSO) to minimize the total cost of the equipment.In order to verify the capability of this method,one case studied by other researches in the open literature is chosen to compa...