Integrated process planning and scheduling by an agent-based ant colony optimization-Reference-Cited by-同舟云学术

Integrated process planning and scheduling by an agent-based ant colony optimization

Published:2010-08 Issue:1 Volume:59 Page:166-180
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Leung C.W.,Wong T.N.,Mak K.L.,Fung R.Y.K.

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference28 articles.

1. An ant colony optimization algorithm for shop scheduling problems;Blum;Journal of Mathematical Modelling and Algorithms,2004

2. Ant colony optimization: Introduction and recent trends;Blum;Physics of Life Reviews,2005

3. Beam-ACO – hybridizing ant colony optimization with beam search: An application to open shop scheduling;Blum;Computers & Operations Research,2005

4. Bullnheimer, B., Kotsis, G., & Strauss, C. (1997). Parallelization strategies for the ant system. In P. Murli, P. Pardalos, & G. Toraldovol, Kluwer Series of Applied Optimization.

5. Ant system for job-shop scheduling;Colorni;Belgian Journal of Operations Research, Statistics and Computer Science,1994

Cited by 117 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved genetic algorithm for integrated process planning and scheduling in distributed heterogeneous manufacturing environment;Engineering Applications of Artificial Intelligence;2024-07

2. DIGITAL TWIN-ORIENTED COLLABORATIVE OPTIMIZATION OF PROCESS PLANNING AND SCHEDULING IN A FLEXIBLE JOB SHOP;INT J IND ENG-THEORY;2024

3. Meta-heuristic algorithms for integrating manufacturing and supply chain functions;Computers & Industrial Engineering;2024-06

4. Intelligent Integration of Process Planning and Scheduling;Advanced and Intelligent Manufacturing in China;2024

5. Improved genetic algorithm based on multi-layer encoding approach for integrated process planning and scheduling problem;Robotics and Computer-Integrated Manufacturing;2023-12