SASEGASA: An Evolutionary Algorithm for Retarding Premature Convergence by Self-Adaptive Selection Pressure Steering-Reference-Cited by-同舟云学术

SASEGASA: An Evolutionary Algorithm for Retarding Premature Convergence by Self-Adaptive Selection Pressure Steering

Published:2003 Issue: Volume: Page:438-445
ISSN:0302-9743
Container-title:Computational Methods in Neural Modeling
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Author:

Affenzeller Michael,Wagner Stefan

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-44868-3_56

Reference15 articles.

1. Affenzeller, M.: A New Approach to Evolutionary Computation: Segregative Genetic Algorithms (SEGA). Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence, Lecture Notes of Computer Science 2084 (2001) 594–601

2. Affenzeller, M.: Transferring the Concept of Selective Pressure from Evolutionary Strategies to Genetic Algorithms. Proceedings of the 14th International Conference on Systems Science 2 (2001) 346–353

3. Affenzeller, M.: Segregative Genetic Algorithms (SEGA): A Hybrid Superstructure Upwards Compatible to Genetic Algorithms for Retarding Premature Convergence. Internatinal Journal of Computers, Systems and Signals (IJCSS), Vol. 2, Nr. 1 (2001) 18–32

4. Fogel, D.B.: An Introduction to Simulated Evolutionary Optimization. IEEE Trans. on Neural Networks 5(1) (1994) 3–14

5. Goldberg, D. E.: Genetic Alogorithms in Search, Optimization and Machine Learning. Addison Wesley Longman (1989)

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