Title :
Neural networks and evolutionary computation. I. Hybrid approaches in artificial intelligence
Author_Institution :
Inst. fur Inf., Tech. Univ. Munchen, Germany
Abstract :
This paper focuses on the intersection of neural networks and evolutionary computation. It is addressed to researchers from artificial intelligence as well as the neurosciences. It provides a comprehensive and compact overview of hybrid work done in artificial intelligence, and shows the state of the art of combining artificial neural networks and evolutionary algorithms
Keywords :
artificial intelligence; genetic algorithms; neural nets; reviews; artificial intelligence; artificial neural networks; evolutionary algorithms; evolutionary computation; evolutionary design; evolutionary training; hybrid approaches; neurosciences; Algorithm design and analysis; Artificial intelligence; Artificial neural networks; Biological neural networks; Evolution (biology); Evolutionary computation; Genetic algorithms; Intelligent networks; Parallel processing; Robustness;
Conference_Titel :
Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1899-4
DOI :
10.1109/ICEC.1994.349941
