Layout Design of Naval Gun Magazine Based on Improved GA

Abstract:

In this paper a magazine layout optimization model with performance constraints is described and the objective function and its constraints of magazine layout are established. A multiobjective optimizations layout model based on polygon method is put forward. The model deals with a series of constraints such as geometry constraints, in-and-out point position optimization, magazine capacity and system reliability and safety. An improved genetic algorithm (GA) is proposed in this paper based on the new encoding scheme and logical mutation operator. The algorithm solved the problem of multiobjective layout design with performance constraints.

• Periodical: Key Engineering Materials (Volumes 419-420)
• Pages: 669-672
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.419-420.669
• Online since: October 2009
• Authors: Wei Fu, Sheng Hai Hu, Yang Ge
• Keywords: Genetic Algorithm (GA), Layout Design, Multi-Objective Optimization (MOP), Naval Gun Magazine

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