Recent developments in the application of computational intelligence to multi-agent manufacturing control

IEEE International Conference on Fuzzy Systems

Volumn 2, Issue , 2001, Pages 990-994

  Naso, David ^a   Maione, Guido ^a  

^a POLITECNICO DI BARI   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY CONTROLLER; MULTI-AGENT MANUFACTURING CONTROL;

COMPUTER ARCHITECTURE; EVOLUTIONARY ALGORITHMS; FUZZY CONTROL; FUZZY SETS; MULTI AGENT SYSTEMS;

ARTIFICIAL INTELLIGENCE;

EID: 0036343569     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (38)

1. A survey of factory control algorithms that can be implemented in a multi-agent heterarchy: Dispatching, scheduling and pull
2. Agent-based systems for intelligent manufacturing: A state-of-the-art survey
3. Biological analogies in manufacturing
4. Evolutionary adaptation of dispatching agents in heterarchical manufacturing systems
5. A benchmark framework for manufacturing control
6. An experimental benchmarking of two multi-agent architectures for production scheduling and control
7. Application of fuzzy logic to shopfloor scheduling
8. Genetically tuned fuzzy scheduling for flexible manufacturing systems
9. Fuzzy control of queuing systems with heterogeneous servers
10. Fuzzy service control of queuing systems
11. Distributed fuzzy control of flexible manufacturing systems
12. Genetic multi-criteria approach to flexible line scheduling
13. Flexible dispatching rules of automated guided vehicles based on self adapting fuzzy prioritizing systems
14. Evolutionary tuning of a fuzzy dispatching systems for automated guided vehicles
15. Adaptive scheduling in dynamic flexible manufacturing systems: A dynamic rule approach
16. Dynamic selection of dispatching rules by fuzzy inference
17. Real-time operation selection in a FMS using simulation - a fuzzy approach
18. A fuzzy multi-criteria algorithm for dynamic routing in FMS
19. Multi-agent routing control in heterarchical manufacturing systems
20. A novel approach to intelligent scheduling based on fuzzy feature selection and fuzzy classifier
21. A fuzzy logic system for dynamic job shop scheduling
22. A genetic algorithm with a machine order-based representation scheme for a class of job shop scheduling problem
23. A controlled genetic algorithm by fuzzy logic and belief functions for job-shop scheduling
24. Recent developments in evolutionary computation for manufacturing optimisation: Problems, solutions, and comparisons
25. Online learning of fuzzy behaviour co-ordination for autonomous agents using genetic algorithms & real-time interaction with the environment
26. Distributed multi-level adaptation for dynamic multi-agent systems
27. Evolving software agent behavior
28. Evolving simple software agents: Comparing genetic algorithms and genetic programming performance
29. Determining successful negotiation strategies: An evolutionary approach
30. Emergent agent communication in multiagent systems using automatically defined function genetic programming
31. A reinforcement learning approach to support setup decisions in distributed manufacturing systems
32. Genetic algorithms in multi-agent systems
33. Evolutionary learning agents for shop floor control
34. Soft computing issues in the intelligent control of holonic manufacturing systems
35. Agent-based modeling for holonic manufacturing systems with fuzzy control
36. Integrated shop floor control using autonomous agents
37. The contract net protocol: High level communication and control in a distributed problem solver