Object-Oriented Genetic Algorithm Based Artificial Neural Network for Load Forecasting
SEAL'98 Selected papers from the Second Asia-Pacific Conference on Simulated Evolution and Learning on Simulated Evolution and Learning
Intelligent computer applications in the energy sector: a literature review from 1990 to 2003
International Journal of Computer Applications in Technology
Comprehensive learning particle swarm optimization for reactive power dispatch
Applied Soft Computing
Evolutionary programming optimization technique for solving reactive power planning in power system
EC'05 Proceedings of the 6th WSEAS international conference on Evolutionary computing
Application of modified NSGA-II algorithm to multi-objective reactive power planning
Applied Soft Computing
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and its Applications - Volume Part I
Intelligent neuro-fuzzy based predictive control of a continuous stirred tank reactor
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
| Hi-index | 0.00 |
From the Publisher:Evolutionary programming is the most novel of computational intelligence techniques currently under development for optimization applications in electric power systems. Together with artificial neural network techniques, this from of programming provides the basis for an intelligent system capable of providing innovative solutions for planning, control, protection and operation problems in the fast-changing electric power industry environment. This work provides a solid and thorough treatment of evolutionary programming and neural network applications to power system optimization problems.