Based on the improved particle swarm optimization (PSO) algorithm, an optimization approach for the
cargo oil tank design (COTD) is presented in this paper. The 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 constraints. Considering the distance between the inner shell and hull, a fuzzy constraint is used
to express the feasibility degree of the double-hull configuration. In 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 simultaneously. Finally, the
simulation demonstrates the feasibility and effectiveness of the proposed approach.
JIANG Wen-ying (姜文英), LIN Yan* (林 焰), CHEN Ming (陈 明), YU Yan-yun (于雁云)
. Research on the Optimization Approach for Cargo Oil Tank Design Based on the Improved Particle Swarm Optimization Algorithm[J]. Journal of Shanghai Jiaotong University(Science), 2015
, 20(5)
: 565
-570
.
DOI: 10.1007/s12204-015-1663-2
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