Ant colonies as logistic processes optimizers

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2463, Issue , 2002, Pages 76-87

  Silva, Carlos A ^a,b   Runkler, Thomas A ^a   Sousa, João M ^b   Palm, Rainer ^a  

^a SIEMENS AG   (Germany)

^b INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM PARAMETERS; ANT COLONIES; FUJITSU-SIEMENS; LOGISTIC PROCESS; PARAMETER SETTING; SENSITIVE ANALYSIS; SIMULATION ENVIRONMENT; TRIAL AND ERROR;

PARAMETER ESTIMATION;

EID: 84974688079     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45724-0_7     Document Type: Conference Paper

References (7)

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2. McKay, K., Pinedo, M., Webster, S.: A practice-focused agenda for production scheduling research. Production and Operations Management 10 (2001).
3. Palm, R., Runkler, T.: Multi-agent control of queuing processes. In: To appear in Proceedings of World Conference on Automatic Controlo-IFAC’2002, Barcelona, Spain. (2002).
4. Silva, C.A., Runkler, T., Sousa, J.M., Palm, R.: Optimization of logistic processes using ant colonies. In: Proceedings of Agent-Based Simulation 3. (2002) 143-148.
5. Wolff, R.W.: Stochastic Modeling and the Theory of Queues. Prentice-Hall (1989).
6. Palm, R., Runkler, T.: Decentralized control of hybrid systems. In: Proceedings of ISADS-2001, Fifth International symposium on autonomous decentralized systems. (2001).
7. Dorigo, M., Maniezzo, V., Colorni, A.: Ant system: Optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man, and Cybernetics-Part B 26 (1996) 29-41.