A comparative study of variation operators used for evolutionary multi-objective optimization

Multi Objective ◽

Variation Operators

2013 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) ◽

Two decomposition-based modem metaheuristic algorithms for multi-objective optimization — A comparative study

10.1109/mcdm.2013.6595438 ◽

2013 ◽

Author(s):

Miguel A. Medina ◽

Swagatam Das ◽

Carlos A. Coello Coello ◽

Juan M. Ramirez

Keyword(s):

Comparative Study ◽

Metaheuristic Algorithms ◽

Application, comparative study, and multi-objective optimization of a hydrogen liquefaction system utilizing either ORC or an absorption power cycle

International Journal of Hydrogen Energy ◽

10.1016/j.ijhydene.2021.11.191 ◽

2021 ◽

Author(s):

Yan Cao ◽

Hayder A. Dhahad ◽

Hussein Togun ◽

Ayman A. Aly ◽

Bassem F. Felemban ◽

...

Keyword(s):

Comparative Study ◽

Power Cycle ◽

Multi Objective ◽

Absorption Power

A Comparative Study of Fast Adaptive Preference-Guided Evolutionary Multi-objective Optimization

Lecture Notes in Computer Science - Evolutionary Multi-Criterion Optimization ◽

10.1007/978-3-319-54157-0_38 ◽

2017 ◽

pp. 560-574 ◽

Author(s):

Florian Siegmund ◽

Amos H. C. Ng ◽

Kalyanmoy Deb

Keyword(s):

Comparative Study ◽

Multi Objective ◽

Adaptive Preference

A comparative study of genetic algorithms for the multi-objective optimization of composite stringers under compression loads

Composites Part B Engineering ◽

10.1016/j.compositesb.2012.10.037 ◽

2013 ◽

Vol 47 ◽

pp. 130-136 ◽

Cited By ~ 29

Author(s):

P. Badalló ◽

D. Trias ◽

L. Marín ◽

J.A. Mayugo

Keyword(s):

Genetic Algorithms ◽

Comparative Study ◽

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 ◽

A comparative study of multi-objective optimization algorithms for sparse signal reconstruction

Artificial Intelligence Review ◽

10.1007/s10462-021-10073-5 ◽

2021 ◽

Author(s):

Murat Emre Erkoc ◽

Nurhan Karaboga

Keyword(s):

Comparative Study ◽

Signal Reconstruction ◽

Optimization Algorithms ◽

Sparse Signal ◽

Sparse Signal Reconstruction ◽

Exergoeconomic investigation and multi-objective optimization of different ORC configurations for waste heat recovery: A comparative study

Energy Conversion and Management ◽

10.1016/j.enconman.2021.114593 ◽

2021 ◽

Vol 245 ◽

pp. 114593

Author(s):

J. Nondy ◽

T.K. Gogoi

Keyword(s):

Comparative Study ◽

Heat Recovery ◽

Waste Heat Recovery ◽

Waste Heat ◽

2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) ◽

A comparative study of the various genetic approaches to solve multi-objective optimization problems

10.1109/icicict.2014.6781261 ◽

2014 ◽

Author(s):

Ankur Kumar ◽

Rohit Saxena ◽

Anuj Kumar

Keyword(s):

Comparative Study ◽

Optimization Problems ◽

A comparative study of multi-objective optimization methodologies for molecular and process design

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2020.106802 ◽

2020 ◽

Vol 136 ◽

pp. 106802 ◽

Cited By ~ 2

Author(s):

Ye Seol Lee ◽

Edward J. Graham ◽

Amparo Galindo ◽

George Jackson ◽

Claire S. Adjiman

Keyword(s):

Comparative Study ◽

Process Design ◽

Multi-objective optimization of intensified processes for the purification of levulinic acid involving economic and environmental objectives. Part II: A comparative study of dynamic properties

Chemical Engineering and Processing - Process Intensification ◽

10.1016/j.cep.2019.107745 ◽

2020 ◽

Vol 147 ◽

pp. 107745 ◽

Author(s):

Heriberto Alcocer-García ◽

Juan Gabriel Segovia-Hernández ◽

Oscar Andrés Prado-Rubio ◽

Eduardo Sánchez-Ramírez ◽

Juan José Quiroz-Ramírez

Keyword(s):

Comparative Study ◽

Levulinic Acid ◽

Dynamic Properties ◽

Multi Objective ◽

Environmental Objectives