The Statistical Analysis of Cloud Evolutionary Strategy
Authors: 
Ziqiang Luo, Yu Zhang, Bin Wen, Xueping GuoAuthors Info & Claims
Ziqiang Luo, Yu Zhang, Bin Wen, Xueping GuoAuthors Info & ClaimsPages 332 - 335
Abstract
Evolutionary algorithms are being used increasingly in search and optimization problems. However, the premature convergence to solutions coding local optima of the objective function is one of the major problems. In order to avoid getting into the local optimal solution, the flexible elite protection mechanism is introduced to the evolutionary strategy based on cloud model. The algorithm is applied to solve one multi-dimensional analytic function by reiteratively computation. The results indicate that the improved cloud evolutionary strategy is better than the genetic algorithms in terms of calculating stability and accuracy.
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- The Statistical Analysis of Cloud Evolutionary Strategy
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Published In
February 2018
411 pages
ISBN:9781450363532
DOI:10.1145/3195106
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- Southwest Jiaotong University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 26 February 2018
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ICMLC 2018
ICMLC 2018: 2018 10th International Conference on Machine Learning and Computing
February 26 - 28, 2018
Macau, China
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