Group technology by an ant system algorithm
From MaRDI portal
Publication:5466715
DOI10.1080/0020754047000298566zbMath1068.90048OpenAlexW2091155029MaRDI QIDQ5466715
Publication date: 25 August 2005
Published in: International Journal of Production Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/0020754047000298566
Related Items (2)
The evolution of cell formation problem methodologies based on recent studies (1997-2008): Review and directions for future research ⋮ An ant colony optimization metaheuristic for machine-part cell formation problems
Cites Work
- Unnamed Item
- New approaches for heuristic search: A bilateral linkage with artificial intelligence
- An improved neural network leader algorithm for part-machine grouping in group technology
- A novel machine grouping and knowledge-based approach for cellular manufacturing
- A close neighbour algorithm for designing cellular manufacturing systems
- ZODIAC—an algorithm for concurrent formation of part-families and machine-cells
- A simulated annealing algorithm for allocating space to manufacturing cells
- Machine-component cell formation in group technology: a neural network approach
- Grouping efficiency measures in cellular manufacturing: A survey and critical review
- Manufacturing cells design with alternative process plans and/or replicate machines
- Machine-cell formation through neural network models
- A genetic algorithm for manufacturing cell formation with multiple routes and multiple objectives
- A similarity coefficient measure and machine-parts grouping in cellular manufacturing systems
- A comparison of cellular manufacturing research presumptions with practice
- Part-family formation for cellular manufacturing: A case study at Harnischfeger
- Soft-computing-based approaches to the group technology problem: A state-of-the-art review
- Comparative study of simulated annealing, genetic algorithms and tabu search for solving binary and comprehensive machine-grouping problems
This page was built for publication: Group technology by an ant system algorithm
