Intelligent process control utilising symbiotic memetic neuro-evolution

Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002

Volumn 1, Issue , 2002, Pages 623-628

  Conradie, A V E ^a   Miikkulainen, R ^b   Aldrich, C ^a  

^a STELLENBOSCH UNIVERSITY   (South Africa)

^b University of Texas at Austin   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); REINFORCEMENT LEARNING;

GENETIC DIVERSITY; LEARNING EFFICIENCY; NEURO CONTROLLERS; NONLINEAR PROCESS; PARTICLE SWARM OPTIMISATION; PROCESS INDUSTRIES; SYMBIOTIC EVOLUTIONARY ALGORITHM; SYNERGETIC EFFECT;

ALGORITHMS;

EID: 84901390899     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2002.1006998     Document Type: Conference Paper

References (8)

1. A.v.E. Conradie,"Neurocontroller development for nonlinear processes utilising evolutionary reinforcement learning", M.Sc. thesis, University of Stellenbosch, South Africa, 2000.
2. D.D. Brengel and W.D. Seider, "Cooridnated design and control optimization of nonlinear processes", Computers and Chemical Engineering, 16(9), pp. 861-886, 1992.
3. L.P. Kaelbling, ML. Littman and A.W. Moore, "Reinforcement Learning: A Survey", Journal of Artificial Intelligence Research, 4, pp. 237-285, 1996.
4. D.E. Moriarty and R. Miikkulainen, "Forming Neural Networks through Efficient and Adaptive Coevolution", Evolutionary Computation, 5(4), pp. 373-399, 1998.
5. P. Merz, "Memetic algorithms for combinatorial optimization problems", Ph.D. thesis, University of Siegen, Germany, 2000.
6. J. Horn, D.E. Goldberg and K. Deb, "Implicit niching in the learning classifier system: Nature's way", Evolutionary Computation, 2(1), pp. 37-66, 1994.
7. Y. Shi and R.C. Eberhart, "Empirical study of particle swarm optimization", Proceedings of the 1999 Congress on Evolutionary Computation, IEEE Service Center, Piscataway, NJ, pp. 1945-1950, 1999.
8. S. Nolfi, J.L. Elman and D. Parisi, "Learning and evolution in neural networks", Adaptive Behavior, (3), 1: 5-28, 1994.