%0 Conference Paper %1 Silva:2002:AoECiEPS %A Alves da Silva, Alexandre P. %A Abrao, Pedro Jose %B Proceedings of the 2002 Congress on Evolutionary Computation CEC2002 %D 2002 %E Fogel, David B. %E El-Sharkawi, Mohamed A. %E Yao, Xin %E Greenwood, Garry %E Iba, Hitoshi %E Marrow, Paul %E Shackleton, Mark %I IEEE Press %K IEEE Transactions, algorithms, analysis annealing, computation, computing, control, evolution evolutionary genetic identification, model optimisation, optimization, particle power problems, programming, search simulated strategies, swarm system systems, tabu %P 1057--1062 %R doi:10.1109/CEC.2002.1004389 %T Applications of Evolutionary Computation in Electric Power Systems %X This survey covers the broad area of evolutionary computation applications to optimization, model identification, and control in power systems 1. Due to space limitation, all reviewed papers have been selected since 1996, from the IEEE Transactions only. A total of 85 articles are listed in this survey. It shows the development of the area and identifies the current trends. The following techniques are considered under the scope of evolutionary computation: evolutionary algorithms (e.g., genetic algorithms, evolution strategies, evolutionary programming, and genetic programming), simulated annealing, tabu search, and particle swarm optimization. %@ 0-7803-7278-6

@inproceedings{Silva:2002:AoECiEPS, abstract = {This survey covers the broad area of evolutionary computation applications to optimization, model identification, and control in power systems [1]. Due to space limitation, all reviewed papers have been selected since 1996, from the IEEE Transactions only. A total of 85 articles are listed in this survey. It shows the development of the area and identifies the current trends. The following techniques are considered under the scope of evolutionary computation: evolutionary algorithms (e.g., genetic algorithms, evolution strategies, evolutionary programming, and genetic programming), simulated annealing, tabu search, and particle swarm optimization.}, added-at = {2008-06-19T17:35:00.000+0200}, author = {{Alves da Silva}, Alexandre P. and Abrao, Pedro Jose}, biburl = {https://www.bibsonomy.org/bibtex/2b394ae4e2867858e8b0a93ac2ba4af97/brazovayeye}, booktitle = {Proceedings of the 2002 Congress on Evolutionary Computation CEC2002}, doi = {doi:10.1109/CEC.2002.1004389}, editor = {Fogel, David B. and El-Sharkawi, Mohamed A. and Yao, Xin and Greenwood, Garry and Iba, Hitoshi and Marrow, Paul and Shackleton, Mark}, interhash = {537c4280fece62d0ec3f2289688a5f67}, intrahash = {b394ae4e2867858e8b0a93ac2ba4af97}, isbn = {0-7803-7278-6}, keywords = {IEEE Transactions, algorithms, analysis annealing, computation, computing, control, evolution evolutionary genetic identification, model optimisation, optimization, particle power problems, programming, search simulated strategies, swarm system systems, tabu}, notes = {CEC 2002 - A joint meeting of the IEEE, the Evolutionary Programming Society, and the IEE. Held in connection with the World Congress on Computational Intelligence (WCCI 2002)}, organisation = {IEEE Neural Network Council (NNC), Institution of Electrical Engineers (IEE), Evolutionary Programming Society (EPS)}, pages = {1057--1062}, publisher = {IEEE Press}, publisher_address = {445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA}, timestamp = {2008-06-19T17:38:24.000+0200}, title = {Applications of Evolutionary Computation in Electric Power Systems}, year = 2002 }