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Toward a New Family of Hybrid Evolutionary Algorithms
Lecture Notes in Computer Science - Evolutionary Multi-Criterion Optimization
◽
10.1007/978-3-030-12598-1_7
◽
2019
◽
pp. 78-90
Author(s):
Lourdes Uribe
◽
Oliver Schütze
◽
Adriana Lara
Keyword(s):
Evolutionary Algorithms
◽
New Family
◽
Hybrid Evolutionary Algorithms
Download Full-text
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References
Real-time observation, early warning and forecasting phytoplankton blooms by integrating in situ automated online sondes and hybrid evolutionary algorithms
Ecological Informatics
◽
10.1016/j.ecoinf.2014.04.001
◽
2014
◽
Vol 22
◽
pp. 44-51
◽
Cited By ~ 12
Author(s):
Lin Ye
◽
Qinghua Cai
◽
Min Zhang
◽
Lu Tan
Keyword(s):
Evolutionary Algorithms
◽
Real Time
◽
Early Warning
◽
Phytoplankton Blooms
◽
Hybrid Evolutionary Algorithms
◽
Time Observation
◽
Real Time Observation
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Research on Hybrid Evolutionary Algorithms with Differential Evolution and GUO Tao Algorithm Based on Orthogonal Design
Lecture Notes in Computer Science - Advanced Intelligent Computing Theories and Applications
◽
10.1007/978-3-642-14922-1_11
◽
2010
◽
pp. 78-85
Author(s):
Zhan-Fang Zhao
◽
Kun-Qi Liu
◽
Xia Li
◽
You-Hua Zhang
◽
Shu-Lin Wang
Keyword(s):
Evolutionary Algorithms
◽
Differential Evolution
◽
Orthogonal Design
◽
Hybrid Evolutionary Algorithms
Download Full-text
Constrained Optimization with Hybrid Evolutionary Algorithms
Hacettepe Journal of Mathematics and Statistics
◽
10.15672/hjms.2018.625
◽
2018
◽
Vol 48
(3)
◽
Cited By ~ 2
Author(s):
W.K. Mashwani
◽
Ozgur Yeniay
◽
H. Shah
◽
N.M. Tairan
◽
M. Sulaiman
Keyword(s):
Evolutionary Algorithms
◽
Constrained Optimization
◽
Hybrid Evolutionary Algorithms
Download Full-text
Risk Management in Production Planning under Uncertainty by Multi-Objective Hybrid Evolutionary Algorithms
Computer Aided Chemical Engineering - 20th European Symposium on Computer Aided Process Engineering
◽
10.1016/s1570-7946(10)28026-4
◽
2010
◽
pp. 151-156
◽
Cited By ~ 5
Author(s):
Thomas Tometzki
◽
Sebastian Engell
Keyword(s):
Risk Management
◽
Evolutionary Algorithms
◽
Production Planning
◽
Planning Under Uncertainty
◽
Multi Objective
◽
Hybrid Evolutionary Algorithms
Download Full-text
Hybrid Evolutionary Algorithms: Methodologies, Architectures, and Reviews
Hybrid Evolutionary Algorithms - Studies in Computational Intelligence
◽
10.1007/978-3-540-73297-6_1
◽
2007
◽
pp. 1-17
◽
Cited By ~ 69
Author(s):
Crina Grosan
◽
Ajith Abraham
Keyword(s):
Evolutionary Algorithms
◽
Hybrid Evolutionary Algorithms
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A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms
Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira’s Scientific Legacy - Lecture Notes in Computer Science
◽
10.1007/978-3-642-02264-7_26
◽
2009
◽
pp. 245-254
Author(s):
F. Fernández-Navarro
◽
P. A. Gutiérrez
◽
C. Hervás-Martínez
◽
J. C. Fernández
Keyword(s):
Evolutionary Algorithms
◽
Clustering Method
◽
Hybrid Evolutionary Algorithms
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Optimised Scheduling of Grid Resources Using Hybrid Evolutionary Algorithms
Parallel Processing and Applied Mathematics - Lecture Notes in Computer Science
◽
10.1007/11752578_49
◽
2006
◽
pp. 406-413
◽
Cited By ~ 4
Author(s):
Wilfried Jakob
◽
Alexander Quinte
◽
Karl-Uwe Stucky
◽
Wolfgang Süß
Keyword(s):
Evolutionary Algorithms
◽
Hybrid Evolutionary Algorithms
◽
Grid Resources
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Solving Constrained Optimization Problems with Hybrid Evolutionary Algorithms
Optimization Techniques for Solving Complex Problems
◽
10.1002/9780470411353.ch7
◽
2008
◽
pp. 101-121
Author(s):
C. Cotta
◽
A. J. Fernández
Keyword(s):
Evolutionary Algorithms
◽
Constrained Optimization
◽
Optimization Problems
◽
Constrained Optimization Problems
◽
Hybrid Evolutionary Algorithms
Download Full-text
Multistage distribution system expansion planning considering distributed generation using hybrid evolutionary algorithms
Applied Energy
◽
10.1016/j.apenergy.2012.07.010
◽
2013
◽
Vol 101
◽
pp. 655-666
◽
Cited By ~ 83
Author(s):
Mohsen Gitizadeh
◽
Ali Azizi Vahed
◽
Jamshid Aghaei
Keyword(s):
Evolutionary Algorithms
◽
Distributed Generation
◽
Distribution System
◽
System Expansion
◽
Expansion Planning
◽
Hybrid Evolutionary Algorithms
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Hybrid evolutionary algorithms for a multiobjective financial problem
SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218)
◽
10.1109/icsmc.1998.726701
◽
2002
◽
Cited By ~ 4
Author(s):
S. Mullei
◽
P. Beling
Keyword(s):
Evolutionary Algorithms
◽
Financial Problem
◽
Hybrid Evolutionary Algorithms
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