An Optimal Material Distribution System Based on Nested Genetic Algorithm(Algorithms)

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概要

• 論文の詳細を見る

• The number and location of the inventory centers play an important role in the material distribution process since residents and inventory centers may be in dispersed regions. In this paper, we view the problem of finding the better locations for the inventory centers as an optimization problem, and propose a nested genetic algorithm (NGA) approach to design an optimal material distribution system. We demonstrate the feasibility of the proposed approach by numerical experiments.

• 社団法人電子情報通信学会の論文
• 2004-03-01

著者

• Lai C‐c

  Department Of Information Management Shu-te University

• LAI Chih-Chin

  Department of Information Management, Shu-Te University

• DOONG Shing-Hwang

  Department of Information Management, Shu-Te University

• Doong Shing-hwang

  Department Of Information Management Shu-te University

• Lai Chih-chin

  Department Of Computer Science And Information Engineering National University Of Tainan

関連論文

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• An Optimal Material Distribution System Based on Nested Genetic Algorithm(Algorithms)
• A Novel Image Segmentation Approach Based on Particle Swarm Optimization(Digital Signal Processing)

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