Evolutionary Computation Meets Machine Learning: A Survey
@article{Zhang2011EvolutionaryCM, title={Evolutionary Computation Meets Machine Learning: A Survey}, author={Jun Zhang and Zhi-hui Zhan and Ying Lin and Ni Chen and Yue-jiao Gong and J. Zhong and H. Chung and Y. Li and Yu-hui Shi}, journal={IEEE Computational Intelligence Magazine}, year={2011}, volume={6}, pages={68-75} }
Evolutionary computation (EC) is a kind of optimization methodology inspired by the mechanisms of biological evolution and behaviors of living organisms. In the literature, the terminology evolutionary algorithms is frequently treated the same as EC. This article focuses on making a survey of researches based on using ML techniques to enhance EC algorithms. In the framework of an ML-technique enhanced-EC algorithm (MLEC), the main idea is that the EC algorithm has stored ample data about the… CONTINUE READING
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References
SHOWING 1-10 OF 77 REFERENCES
A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning
- Computer Science
- 1994
- 1,338
- PDF
Accelerating Differential Evolution Using an Adaptive Local Search
- Mathematics, Computer Science
- IEEE Transactions on Evolutionary Computation
- 2008
- 578
- PDF
Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles
- Computer Science
- GECCO
- 2004
- 165
- PDF
Hybridization of evolutionary algorithms and local search by means of a clustering method
- Computer Science, Medicine
- IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
- 2005
- 101
- PDF
Hybrid Evolutionary Search Method Based on Clusters
- Computer Science
- IEEE Trans. Pattern Anal. Mach. Intell.
- 2001
- 20
Clustering-Based Adaptive Crossover and Mutation Probabilities for Genetic Algorithms
- Mathematics, Computer Science
- IEEE Transactions on Evolutionary Computation
- 2007
- 259
- PDF
Opposition-Based Differential Evolution
- Mathematics, Computer Science
- IEEE Transactions on Evolutionary Computation
- 2008
- 1,210
- PDF
A Probabilistic Memetic Framework
- Mathematics, Computer Science
- IEEE Transactions on Evolutionary Computation
- 2009
- 209
- PDF
JADE: Adaptive Differential Evolution With Optional External Archive
- Computer Science
- IEEE Transactions on Evolutionary Computation
- 2009
- 2,024
- PDF
Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization
- Mathematics, Computer Science
- IEEE Transactions on Evolutionary Computation
- 2009
- 2,445
- PDF