A computational study on design and performance issues of multi-agent intelligent systems for dynamic scheduling environments
✍ Scribed by P.C. Pendharkar
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 232 KB
- Volume
- 16
- Category
- Article
- ISSN
- 0957-4174
No coin nor oath required. For personal study only.
✦ Synopsis
Multi-Agent Intelligent Systems (MAIS) are loosely-coupled network of problem solving systems that, whenever needed, work together with each other to dynamically solve problems that none of the system can individually solve. Among the advantages of the MAIS, when compared to the centralized systems, are increased reliability, faster problem solving, decreased communication, and more flexibility. Learning to coordinate the actions is one of the most important task in MAIS. In the current research, we use a widely reported dynamic job shop scheduling simulation model that uses distributed genetic learning of job scheduling strategies (