An ACO algorithm for the shortest common supersequence problem
New ideas in optimization
Ant Colony Optimization
A three-stage integrated approach for assembly sequence planning using neural networks
Expert Systems with Applications: An International Journal
A hierarchical approach on assembly sequence planning and optimal sequences analyzing
Robotics and Computer-Integrated Manufacturing
A Genetic Algorithm for Assembly Sequence Planning
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
Expert Systems with Applications: An International Journal
Artificial immune systems for assembly sequence planning exploration
Engineering Applications of Artificial Intelligence
Chaotic particle swarm optimization for assembly sequence planning
Robotics and Computer-Integrated Manufacturing
On the design of intelligent robotic agents for assembly
Information Sciences: an International Journal
Information Sciences: an International Journal
Robotics and Computer-Integrated Manufacturing
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Hi-index | 0.00 |
In mechanical assembly planning research, many intelligent methods have already been reported over the past two decades. However, those methods mainly focus on the optimal assembly solution search while another important problem, the generation of solution space, has received little attention. This paper proposes a new methodology for the assembly planning problem. On the basis of a disassembly information model which has been developed to represent all theoretical assembly/disassembly sequences, two decoupled problems, generating the solution space and searching for the best result, are integrated into one computation framework. In this framework, using an ant colony optimization algorithm, the solution space of disassembly plans can be generated synchronously during the search process for best solutions. Finally, the new method's validity is verified by a case study.