An effective artificial bee colony algorithm for the flexible job-shop scheduling problem
出版年份 2011 全文链接
标题
An effective artificial bee colony algorithm for the flexible job-shop scheduling problem
作者
关键词
-
出版物
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Volume 60, Issue 1-4, Pages 303-315
出版商
Springer Nature
发表日期
2011-09-02
DOI
10.1007/s00170-011-3610-1
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- An effective genetic algorithm for the flexible job-shop scheduling problem
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- A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem
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- An efficient architecture for scheduling flexible job-shop with machine availability constraints
- (2010) E. Moradi et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A multi-objective genetic algorithm based on immune and entropy principle for flexible job-shop scheduling problem
- (2010) Xiaojuan Wang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A Pareto approach to multi-objective flexible job-shop scheduling problem using particle swarm optimization and local search
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- A comparative study of Artificial Bee Colony algorithm
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- A Knowledge-Based Ant Colony Optimization for Flexible Job Shop Scheduling Problems
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- Flexible job-shop scheduling with parallel variable neighborhood search algorithm
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- (2009) Fantahun M. Defersha et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A new design method based on artificial bee colony algorithm for digital IIR filters
- (2009) Nurhan Karaboga JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- An effective hybrid particle swarm optimization algorithm for multi-objective flexible job-shop scheduling problem
- (2008) Guohui Zhang et al. COMPUTERS & INDUSTRIAL ENGINEERING
- On the performance of artificial bee colony (ABC) algorithm
- (2007) D. Karaboga et al. APPLIED SOFT COMPUTING
- Evolving dispatching rules using genetic programming for solving multi-objective flexible job-shop problems
- (2007) Joc Cing Tay et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A genetic algorithm for the Flexible Job-shop Scheduling Problem
- (2007) F. Pezzella et al. COMPUTERS & OPERATIONS RESEARCH
- A hybrid genetic and variable neighborhood descent algorithm for flexible job shop scheduling problems
- (2007) Jie Gao et al. COMPUTERS & OPERATIONS RESEARCH
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