Multi-Agent Systems for Real-Time Adaptive Resource Management

Industrial Agents: Emerging Applications of Software Agents in Industry

Volumn , Issue , 2015, Pages 207-229

  Skobelev, Petr ^a  

^a SAMARA NATIONAL RESEARCH UNIVERSITY   (Russian Federation)

Author keywords

Adaptive scheduling; Demand resource network; Multi agent platform; Multi agent technology

Indexed keywords

COMPLEX NETWORKS; ECONOMICS; REAL TIME SYSTEMS; RESOURCE ALLOCATION; SCHEDULING;

ADAPTIVE RESOURCE MANAGEMENT; ADAPTIVE SCHEDULING; COMMERCIAL APPLICATIONS; DEMAND RESOURCES; MULTI-AGENT PLATFORMS; MULTI-AGENT TECHNOLOGIES; REAL TIME DECISION-MAKING; REQUIRED FUNCTIONALITIES;

MULTI AGENT SYSTEMS;

EID: 84944408580     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-0-12-800341-1.00012-7     Document Type: Chapter

References (21)

1. Allan, R., 2010. Survey of agent based modeling and simulation tools. Computational Science and Engineering Department, Technical report DL-TR-2010-007.
2. Brussel H.V., Wyns J., Valckenaers P., Bongaerts L. Reference architecture for holonic manufacturing systems: PROSA. Comput. Ind. 1998, 37(3):255-274.
3. Florea A., Lauttamus J., Postelnici C., Martinez J. Agent-based control of operational conditions for smart factories: the peak load management scenario 2013, 13-24. Springer, Berlin, LNAI 8062.
4. Gongfa L. A hybrid particle swarm optimization algorithm for Job-shop scheduling problem. Int. J. Adv. Comp. Tech. (IJACT) 2011, 3(4):79-88.
5. Leitao P., Vrba P. Recent developments and future trends of industrial agents 2011, 15-28. Springer, Berlin.
6. Leung Y.-T. Handbook of Scheduling: Algorithms, Models and Performance Analysis, CRC Computer and Information Science Series 2004, Chapman & Hall, London.
7. Nicolis G., Prigogine I. Exploring Complexity: An Introduction 1989, W. H. Freeman, New York.
8. Noller D., Hanis T., Feldman M., Asher J., Bosler B. Semantic models in manufacturing execution/enterprise systems. MES-Theory and Practice 2013, vol. 6:37-74. NGSS, Moscow. I. In: Reshetnikov, A. Kozletsov (Eds.).
9. Pechoucek M., Marík V. Industrial deployment of multi-agent technologies: review and selected case studies. Auton. Agent. Multi-Agent Syst. 2008, 3:397-431.
10. Pinedo M.L. Scheduling: Theory, Algorithms, and System 2008, Springer, Berlin.
11. Prigogine I., Stengers I. Order Out of Chaos: Man's New Dialogue with Nature 1984, Flamingo, London.
12. Rolf C.R., Kuchcinski K. Distributed constraint programming with agents 2011, 320-331. Springer-Verlag, Berlin.
13. Rzevski G., Skobelev P. Managing Complexity 2014, WIT Press, UK/USA, p. 198.
14. Shirzadeh Chaleshtari A., Shadrokh Sh. A branch and bound algorithm for resource constrained project scheduling problem subject to cumulative resources. World Acad. Sci. Eng. Technol. 2012, 6:23-28.
15. Shoham Y., Leyton-Brown K. Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations 2009, Cambridge University Press, New York.
16. Skobelev P. Multi-agent systems for real time resource allocation, scheduling, optimization and controlling: industrial applications 2011, 1-14. Springer, Berlin.
17. Skobelev P., Vittikh V. Models of self-organization for designing demand-supply networks. Autom. Remote Control 2003, 1:177-185.
18. Skobelev P., Vittikh V. The compensation method of agents interactions for real time resource allocation. Avtometriya, Journal of Siberian Branch of Russian Academy of Science 2009, 2:78-87.
19. Vos S. Meta-heuristics: the state of the art. Local Search for Planning and Scheduling 2001, 1-23. Springer-Verlag, Berlin. A. Nareyek (Ed.).
20. Wooldridge M. An Introduction to Multi-Agent Systems 2002, John Wiley & Sons, London.
21. Xueni Q., Lau H. An AIS-based hybrid algorithm with PSO for job shop scheduling problem 2010, 371-376.