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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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

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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

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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

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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

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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

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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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