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

Power Cycle ◽

Multi Objective ◽

Absorption Power

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 ◽

Cited By ~ 1

Author(s):

Miguel A. Medina ◽

Swagatam Das ◽

Carlos A. Coello Coello ◽

Juan M. Ramirez

Keyword(s):

Comparative Study ◽

Metaheuristic Algorithms ◽

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 ◽

Cited By ~ 1

Author(s):

Florian Siegmund ◽

Amos H. C. Ng ◽

Kalyanmoy Deb

Keyword(s):

Comparative Study ◽

Multi Objective ◽

Adaptive Preference

Solar based CO2 power cycle employing thermoelectric generator and absorption refrigeration: Thermodynamic assessment and multi-objective optimization

Energy Conversion and Management ◽

10.1016/j.enconman.2019.112072 ◽

2019 ◽

Vol 200 ◽

pp. 112072 ◽

Cited By ~ 12

Author(s):

Onder Kizilkan ◽

Shoaib Khanmohammadi ◽

Morteza Saadat-Targhi

Keyword(s):

Thermoelectric Generator ◽

Thermodynamic Assessment ◽

Absorption Refrigeration ◽

Power Cycle ◽

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

Information Sciences ◽

10.1016/j.ins.2014.03.042 ◽

2014 ◽

Vol 273 ◽

pp. 33-48 ◽

Cited By ~ 7

Author(s):

Isolina Alberto ◽

Carlos A. Coello Coello ◽

Pedro M. Mateo

Keyword(s):

Comparative Study ◽

Multi Objective ◽

Variation Operators

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 ◽

Multi-objective optimization of Helium power cycle for Thermo-Chemical Energy Storage in Concentrated Solar Power

Energy Conversion and Management X ◽

10.1016/j.ecmx.2021.100116 ◽

2021 ◽

pp. 100116

Author(s):

Umberto Tesio ◽

Elisa Guelpa ◽

Vittorio Verda

Keyword(s):

Energy Storage ◽

Solar Power ◽

Chemical Energy ◽

Concentrated Solar Power ◽

Power Cycle ◽

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 ◽

Cited By ~ 1

Author(s):

Ankur Kumar ◽

Rohit Saxena ◽

Anuj Kumar

Keyword(s):

Comparative Study ◽

Optimization Problems ◽