Improving the performance of a preference-based multi-objective algorithm to optimize food treatment processes-Reference-Cited by-同舟云学术

Improving the performance of a preference-based multi-objective algorithm to optimize food treatment processes

Published:2019-06-28 Issue:5 Volume:52 Page:896-913
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Ferrández M. R.¹^ORCID,Redondo J. L.¹,Ivorra B.²,Ramos A. M.²,Ortigosa P. M.¹,Paechter B.³

Affiliation:

1. Department of Computer Science, University of Almería, Almería, Spain

2. Instituto de Matemática Interdisciplinar (IMI) and Department of Mathematical Analysis and Applied Mathematics, Complutense University of Madrid, Madrid, Spain

3. School of Computing, Edinburgh Napier University, Edinburgh, Scotland, UK

Funder

EC Research Innovation Action under the H2020 Programme

Spanish Ministry of Economy and Competitiveness

Junta de Andalucía

European Regional Development Fund (ERDF)

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2019.1618289

Reference29 articles.

1. Multi-objective optimization of an irreversible Stirling cryogenic refrigerator cycle

2. Thermodynamic analysis and performance optimization of irreversible Carnot refrigerator by using multi-objective evolutionary algorithms (MOEAs)

3. Stochastic topology design optimization for continuous elastic materials

4. Modeling and optimization of activated sludge bioreactors for wastewater treatment taking into account spatial inhomogeneities

5. Modeling Conductive Heat Transfer and Process Uniformity during Batch High-Pressure Processing of Foods

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