Research on the Optimization Approach for Cargo Oil Tank Design Based on the Improved Particle Swarm Optimization Algorithm

作     者：姜文英 林焰 陈明 于雁云 

作者机构：Ship CAD Engineering CentreDalian University of Technology 

基　　金：the National Special Fund for Agro-scientific Research in the Public Interest(No.201003024) 

出 版 物：《Journal of Shanghai Jiaotong university(Science)》 (上海交通大学学报（英文版）)

年 卷 期：2015年第20卷第5期

页      码：565-570页

摘      要：Based on the improved particle swarm optimization(PSO) algorithm,an optimization approach for the cargo oil tank design(COTD) is presented in this *** purpose is to design an optimal overall dimension of the cargo oil tank(COT) under various kinds of constraints in the preliminary design stage.A non-linear programming model is built to simulate the optimization design,in which the requirements and rules for COTD are used as the *** the distance between the inner shell and hull,a fuzzy constraint is used to express the feasibility degree of the double-hull *** terms of the characteristic of COTD,the PSO algorithm is improved to solve this problem.A bivariate extremum strategy is presented to deal with the fuzzy constraint,by which the maximum and minimum cargo capacities are obtained ***,the simulation demonstrates the feasibility and effectiveness of the proposed approach.

主 题 词：cargo oil tank optimization design nonlinear programming improved particle swarm optimization(PSO)algorithm fuzzy constraint construction feasibility degree 

学科分类：08[工学] 0824[工学-林业工程类] 082401[082401] 

核心收录：

D　O　I：10.1007/s12204-015-1663-2

馆 藏 号：203889989...