Applications of Multi-Objective Genetic Algorithms for Real-World Optimization in Production Scheduling
碩士 === 國立高雄第一科技大學 === 系統資訊與控制研究所 === 97 === Global competitions and problems of the irregular demand pattern are challenging the manufacturing industry nowadays, and utilization of multi-objective genetic algorithm in production scheduling is suggested to improve the efficiency of traditional method...
Main Authors: | Yi-Chang Chen, 陳奕昌 |
---|---|
Other Authors: | Tung-Kuan Liu |
Format: | Others |
Language: | zh-TW |
Published: |
2009
|
Online Access: | http://ndltd.ncl.edu.tw/handle/57051171819400711214 |
Similar Items
-
Applications of Multi-Objective Genetic Algorithm to Optimal Berth Scheduling Problem
by: Yi-Ming Hsieh, et al.
Published: (2011) -
Application of Multi-objective Genetic Algorithms for Virtual Resource Allocation Scheduling Optimization
by: Chuan-Ren Wang, et al.
Published: (2012) -
Using genetic algorithms for practical multi-objective production schedule optimisation
by: Shaw, Katherine Jane
Published: (1997) -
Apply Genetic Algorithm for Solving the Multi-Objective Open Shop Scheduling Problem: A Case of Hardware Factory
by: Yi-Da Chen, et al.
Published: (2006) -
Modified Niched Pareto Multi-objective Genetic Algorithm for Construction Scheduling Optimization
by: Kim, Kyungki
Published: (2012)