Ship Cabin Layout Optimization Design Based on the Improved Genetic Algorithm Method

Yun Long Wang; Chen Wang; Yan Lin

doi:10.4028/www.scientific.net/AMM.300-301.146

Paper Titles

WSN System Based on Weight Adjust for Machinery Manufacturing Machine Monitoring
p.124

Blanking of Plastic Forming Simulation and Analysis Based on the DEFORM
p.128

Study on Simulation of Ocean Wave Generation System Based on SIMULINK
p.133

Single-Row Facility Layout Based on Manufacturing Costs
p.140

Ship Cabin Layout Optimization Design Based on the Improved Genetic Algorithm Method
p.146

Experiment Research and Model on Drilling Force of CFRP
p.150

Retrieval and Clustering for Multiple Disciplines Design Knowledge Based on Ontology and Semantic
p.155

The Simulation Study for Energy-Absorbing Properties of the Railway Vehicle’s Anti-Climber with Different Vertical Offsets
p.160

The Study of Marine Gas Turbine Power System Simulation Software Development
p.166

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 300-301Ship Cabin Layout Optimization Design Based on the...

Ship Cabin Layout Optimization Design Based on the Improved Genetic Algorithm Method

Abstract:

Based on the improved genetic algorithm method, a kind of the optimization techniques to solve the problem about the ship cabin layout is presented. The problem about the ship cabin layout is a NP-hard problem. This article has used the genetic algorithm method to solve it .However, for the simple and easy procedure, the basic genetic algorithm is slow and easy to fall into a local optimal solution. Therefore, it must be improved. This article has made the following two improvements: on the one hand using the niche method to solve the multi- peak problem; on the other hand using the climbing method to solve the slow and premature convergence. The simulation tests show that this approach proposed by authors is feasible and valid and the result is satisfied.