A Comparative Study of Multi-objective Evolutionary Algorithms to Optimize the Selection of Investment Portfolios with Cardinality Constraints

Applications of Evolutionary Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-642-29178-4_17 ◽

2012 ◽

pp. 165-173 ◽

Cited By ~ 2

Author(s):

Feijoo E. Colomine Duran ◽

Carlos Cotta ◽

Antonio J. Fernández-Leiva

Keyword(s):

Evolutionary Algorithms ◽

Comparative Study ◽

Cardinality Constraints ◽

Multi Objective ◽

Investment Portfolios ◽

Selection Of

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Selection of Optimal Investment Portfolios with Cardinality Constraints

2006 IEEE International Conference on Evolutionary Computation ◽

10.1109/cec.2006.1688603 ◽

2006 ◽

Cited By ~ 28

Author(s):

R. Moral-Escudero ◽

R. Ruiz-Torrubiano ◽

A. Suarez

Keyword(s):

Optimal Investment ◽

Cardinality Constraints ◽

Investment Portfolios ◽

Selection Of

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A Comparative Study on Multi-objective Evolutionary Algorithms for Tri-objective Mean-Risk-Cardinality Portfolio Optimization Problems

Computational Management - Modeling and Optimization in Science and Technologies ◽

10.1007/978-3-030-72929-5_13 ◽

2021 ◽

pp. 277-303

Author(s):

Georgios Mamanis

Keyword(s):

Evolutionary Algorithms ◽

Comparative Study ◽

Portfolio Optimization ◽

Optimization Problems ◽

Multi Objective ◽

Mean Risk

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Comparative study of multi-objective evolutionary algorithms for hydraulic rehabilitation of urban drainage networks

Urban Water Journal ◽

10.1080/1573062x.2016.1223319 ◽

2016 ◽

Vol 14 (5) ◽

pp. 483-492 ◽

Cited By ~ 20

Author(s):

J. Yazdi ◽

D. G. Yoo ◽

J. H. Kim

Keyword(s):

Evolutionary Algorithms ◽

Comparative Study ◽

Urban Drainage ◽

Multi Objective ◽

Drainage Networks

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A comparative study on the application of evolutionary algorithms to multi-objective, multi-stage supply chain network design

International Journal of Supply Chain and Inventory Management ◽

10.1504/ijscim.2017.10013470 ◽

2017 ◽

Vol 2 (2) ◽

pp. 143

Author(s):

Ferdous Sarwar ◽

Muhammad Adib Uz Zaman

Keyword(s):

Supply Chain ◽

Evolutionary Algorithms ◽

Comparative Study ◽

Network Design ◽

Supply Chain Network Design ◽

Supply Chain Network ◽

Multi Objective ◽

Multi Stage

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A comparative study of constrained multi-objective evolutionary algorithms on constrained multi-objective optimization problems

2017 IEEE Congress on Evolutionary Computation (CEC) ◽

10.1109/cec.2017.7969315 ◽

2017 ◽

Cited By ~ 10

Author(s):

Zhun Fan ◽

Yi Fang ◽

Wenji Li ◽

Jiewei Lu ◽

Xinye Cai ◽

...

Keyword(s):

Evolutionary Algorithms ◽

Comparative Study ◽

Optimization Problems ◽

Multi Objective Optimization ◽

Multi Objective

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A comparative study on decomposition-based multi-objective evolutionary algorithms for many-objective optimization

2016 IEEE Congress on Evolutionary Computation (CEC) ◽

10.1109/cec.2016.7744096 ◽

2016 ◽

Cited By ~ 1

Author(s):

Xiaoliang Ma ◽

Junshan Yang ◽

Nuosi Wu ◽

Zhen Ji ◽

Zexuan Zhu

Keyword(s):

Evolutionary Algorithms ◽

Comparative Study ◽

Multi Objective

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Multi-objective Optimization of Yarn Characteristics Using Evolutionary Algorithms: A Comparative Study

Journal of The Institution of Engineers (India) Series E ◽

10.1007/s40034-018-0121-8 ◽

2018 ◽

Vol 99 (2) ◽

pp. 129-140

Author(s):

Shankar Chakraborty ◽

Sunny Diyaley

Keyword(s):

Evolutionary Algorithms ◽

Comparative Study ◽

Multi Objective Optimization ◽

Multi Objective

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Multi-objective Evolutionary Algorithms in the Automatic Learning of Boolean Queries: A Comparative Study

Advances in Soft Computing - Theoretical Advances and Applications of Fuzzy Logic and Soft Computing ◽

10.1007/978-3-540-72434-6_8 ◽

2007 ◽

pp. 71-80

Author(s):

A. G. Lopez-Herrera ◽

E. Herrera-Viedma ◽

F. Herrera ◽

C. Porcel ◽

S. Alonso

Keyword(s):

Evolutionary Algorithms ◽

Comparative Study ◽

Automatic Learning ◽

Multi Objective ◽

Boolean Queries

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Optimizing Feed-Forward Neural Network Topology by Multi-objective Evolutionary Algorithms: A Comparative Study on Biomedical Datasets

Communications in Computer and Information Science - Advances in Artificial Life, Evolutionary Computation and Systems Chemistry ◽

10.1007/978-3-319-32695-5_5 ◽

2016 ◽

pp. 53-64 ◽

Cited By ~ 4

Author(s):

Vitoantonio Bevilacqua ◽

Fabio Cassano ◽

Ernesto Mininno ◽

Giovanni Iacca

Keyword(s):

Neural Network ◽

Evolutionary Algorithms ◽

Comparative Study ◽

Network Topology ◽

Feed Forward Neural Network ◽

Feed Forward ◽

Multi Objective

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A comparative study on the application of evolutionary algorithms to multi-objective, multi-stage supply chain network design

International Journal of Supply Chain and Inventory Management ◽

10.1504/ijscim.2017.092325 ◽

2017 ◽

Vol 2 (2) ◽

pp. 143

Author(s):

Ferdous Sarwar ◽

Muhammad Adib Uz Zaman

Keyword(s):

Supply Chain ◽

Evolutionary Algorithms ◽

Comparative Study ◽

Network Design ◽

Supply Chain Network Design ◽

Supply Chain Network ◽

Multi Objective ◽

Multi Stage

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