An adaptive agent model for generator company bidding in the UK power pool

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

Volumn 1829, Issue , 2000, Pages 191-203

  Bagnall, A J ^a   Smith, G D ^a  

^a UNIVERSITY OF EAST ANGLIA   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMMERCE; ELECTRIC POWER GENERATION; HIERARCHICAL SYSTEMS; LEARNING SYSTEMS;

ADAPTIVE AGENTS; AGENT STRUCTURE; CURRENT MODELING; ELECTRICITY GENERATION; GENERATING COMPANIES; IMPROVE PERFORMANCE; LEARNING CLASSIFIER SYSTEM; POWER POOLS;

AUTONOMOUS AGENTS;

EID: 33947312733     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/10721187_14     Document Type: Conference Paper

References (5)

1. W. Fairney. Power generation in the 1990s. Power Engineering Journal, pages 239-246, December 1993.
2. F. Zhuang and F. D. Galiana. Towards a more rigorous and pratical unit commit-ment by lagrangian relaxation. IEEE Transactions on Power Systems,3(2):763-773,1988
3. M. Dorigo and U. Schnepf. Genetics-based machine learning and behaviour based robotics: a new synthesis. IEEE Transactions on Systems, Man and Cybernetics, SMC-23(1), 1993.
4. S. W. Wilson. Classifier fitness based on accuracy. Evolutionary Computation, 3(2), 1995.
5. M. Dorigo. Genetic and non genetic operators in ALECSYS. Evolutionary Com-putation, 1(2), 1993.