Application of Evolutionary Algorithms in Controlling Semi-autonomous Mission-Critical Distributed Systems

Proceedings of the Joint Conference on Information Sciences

Volumn 5, Issue 1, 2000, Pages 1015-1018

  Krishna, K ^a   Naik, Vijay K ^b  

^a IBM INDIA RESEARCH LAB   (India)

^b IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; COMPUTER OPERATING SYSTEMS; DECISION MAKING; EVOLUTIONARY ALGORITHMS; MARKOV PROCESSES; OPTIMIZATION; PROBABILITY DISTRIBUTIONS; PROBLEM SOLVING; RESOURCE ALLOCATION;

SEMI-AUTONOMOUS MISSION-CRITICAL SYSTEMS; SOLUTION GRAPH (SG);

DISTRIBUTED COMPUTER SYSTEMS;

EID: 1642336466     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. S. Fakhouri, W. Jerome, V. Naik, A. Raina, and P. Vanna. Active Middleware Services in a Decision Support System for Managing Distributed Resources, IBM Research Report, to appear in the Proceedings of the Middleware2000, 1999.
2. D. B. Fogel. Evolutionary Computation: Toward a New Philosophy of Machine Intelligence IEEE Press, Piscataway, NJ,1995.
3. D. Goldberg. Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading, MA, 1989.
4. M. Iosifesu. Finite Markov Processes and Their Applications, Wiley, Chichester, 1980.
5. G. Rudolph. Convergence analysis of canonical genetic algorithms. IEEE Transactions on Neural Networks, 5(1):96-101, 1994.
6. F. J. Sous and R. J. B. Wets. Minimization by random search techniques. Mathematics of Operations Research, 6(1):19-30, 1981.