Rational Criterion Approach for Ship Cabin Acoustic Layout  Optimization Design Under Area Constraints

Journal of Shanghai Jiaotong University ›› 2015, Vol. 49 ›› Issue (04): 494-498.

• Communication and Transportation • Previous Articles Next Articles

Rational Criterion Approach for Ship Cabin Acoustic Layout Optimization Design Under Area Constraints

YANG Deqing，FENG Aijing，GAO Chu

（School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiaotong University, Shanghai 200240）

Received:2014-09-15 Online:2015-04-28 Published:2015-04-28

Abstract

Abstract:

Abstract： Ship cabins’ acoustic layout optimization design considering standard and nonstandard area constraints were investigated based on the general cabins acoustics layout optimization model method, in which mathematical formulations with quantity design variables were presented. The rational criterion approach was proposed to solve the presented acoustic layout optimization model. For the optimization model with standard cabin area constraints, the modified assignment matrix with weighted coefficients were defined, and the Hungarian algorithm was applied to solve the optimization problem. For the optimization model with nonstandard cabin area constraints which denote the numbers of available spaces are less than the numbers of cabins to be allocated, the criterion method based on the rearrangement inequality was applied to solve the problem. Design examples of layouts optimization with area constraints demonstrate the validity and efficiency of the proposed general model and rational methods.

Key words: cabins allocation, acoustics layout optimization, Hungarian algorithm, rational criterion approach, ship cabin acoustic layout optimization

CLC Number:

U 661.39

YANG Deqing，FENG Aijing，GAO Chu. Rational Criterion Approach for Ship Cabin Acoustic Layout Optimization Design Under Area Constraints[J]. Journal of Shanghai Jiaotong University, 2015, 49(04): 494-498.

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Rational Criterion Approach for Ship Cabin Acoustic Layout Optimization Design Under Area Constraints

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