Suchergebnisse - "multi-objective evolutionary algorithm based on decomposition (MOEA/D)"

Fuzzy Flexible Job-Shop Scheduling Algorithm Based on Improved MOEA/D

Autoren: ZHENG Jincan, SHAO Lizhen, LEI Xuemei

Quelle: Jisuanji gongcheng, Vol 50, Iss 6, Pp 336-345 (2024)

Schlagwörter: fuzzy flexible job-shop scheduling problem(ffjsp), multi-objective evolutionary algorithm based on decomposition(moea/d), hybrid initialization, selection strategy, neighborhood search, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20240633.pdf; https://doaj.org/toc/1000-3428

Zugangs-URL: https://doaj.org/article/52ce3508a62d47a193419d456631c819

An improved MOEA/D algorithm for bi-objective optimization problems with complex Pareto fronts and its application to structural optimization

Autoren: Ho-Huu, V. (author) Hartjes, S. (author) Visser, H.G. (author) et al.

Quelle: Expert Systems with Applications. 92:430-446

Schlagwörter: Multi-objective evolutionary algorithm based on decomposition (MOEA/D), Complicated Pareto fronts (PFs), Multi-objective evolutionary algorithm (MOEA), 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Structural optimization, Truss structures

Zugangs-URL: https://core.ac.uk/display/132713708
https://www.sciencedirect.com/science/article/pii/S0957417417306553
https://www.narcis.nl/publication/RecordID/oai%3Atudelft.nl%3Auuid%3A0ad89c60-937c-4351-8461-1d75f1fc7eb8
https://repository.tudelft.nl/islandora/object/uuid%3A0ad89c60-937c-4351-8461-1d75f1fc7eb8
https://repository.tudelft.nl/islandora/object/uuid%3A0ad89c60-937c-4351-8461-1d75f1fc7eb8/datastream/OBJ/download
https://dblp.uni-trier.de/db/journals/eswa/eswa92.html#Ho-HuuHVC18
http://resolver.tudelft.nl/uuid:0ad89c60-937c-4351-8461-1d75f1fc7eb8

Improved MOEA/D Algorithm Based on Adaptive Neighborhood Strategy

Autoren: GENG Huantong,HAN Weimin,DING Yangyang,ZHOU Shansheng

Quelle: Jisuanji gongcheng, Vol 45, Iss 5, Pp 161-168 (2019)

Schlagwörter: multi-objective evolutionary algorithm based on decomposition (moea/d), neighborhood updating capability, evolutionary state, judgment mechanism, adaptive neighborhood strategy(ans), Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/195161.pdf; https://doaj.org/toc/1000-3428

Zugangs-URL: https://doaj.org/article/345521797e164d4d9e6ad8dd0b2b96a3

MOEA/D Algorithm Based on Combinational Optimization of Neighborhood and Mutation Operator

Autoren: LIU Lu,ZHENG Liming

Quelle: Jisuanji gongcheng, Vol 43, Iss 3, Pp 232-240 (2017)

Schlagwörter: neighborhood range, mutation operator type, candidate pool, multi-objective evolutionary algorithm based on decomposition(moea/d), multi-objective optimization, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/201703039.pdf; https://doaj.org/toc/1000-3428

Zugangs-URL: https://doaj.org/article/8e61bb7b75f24e77af128ea597295b63

Use of a multi-objective teaching-learning algorithm for reduction of power losses in a power test system ; Uso de un algoritmo de enseñanza-aprendizaje multi-objetivo para la reducción de pérdidas de energía en un sistema de potencia de prueba

Autoren: Medina, Miguel A Ramirez, Juan M Coello, Carlos A et al.

Quelle: DYNA; Vol. 81 No. 185 (2014); 196-203 ; DYNA; Vol. 81 Núm. 185 (2014); 196-203 ; 2346-2183 ; 0012-7353

Schlagwörter: Multi-objective evolutionary algorithm based on decomposition (MOEA/D), Multi-objective Teaching-learning algorithm, Optimal reactive power dispatch, Algoritmo evolutivo multi-objetivo basado en descomposición (MOEA/D), Algoritmo de enseñanza-aprendizaje multi-objetivo, Despacho óptimo de potencia reactiva

Dateibeschreibung: application/pdf; text/html

Relation: https://revistas.unal.edu.co/index.php/dyna/article/view/38309/pdf_27; https://revistas.unal.edu.co/index.php/dyna/article/view/38309/53996; https://revistas.unal.edu.co/index.php/dyna/article/view/38309

Verfügbarkeit: https://revistas.unal.edu.co/index.php/dyna/article/view/38309

Use of a multi-objective teaching-learning algorithm for reduction of power losses in a power test system

Autoren: Medina, Miguel A Ramirez, Juan M Coello, Carlos A et al.

Schlagwörter: Multi-objective evolutionary algorithm based on decomposition (MOEA/D), Multi-objective Teaching-learning algorithm, Optimal reactive power dispatch

Dateibeschreibung: application/pdf; application/msword

Relation: http://revistas.unal.edu.co/index.php/dyna/article/view/38309; Universidad Nacional de Colombia Revistas electrónicas UN Dyna; Dyna; DYNA; Vol. 81, núm. 185 (2014); 196-203 Dyna; Vol. 81, núm. 185 (2014); 196-203 2346-2183 0012-7353; Medina, Miguel A and Ramirez, Juan M and Coello, Carlos A and Das, Swagatam (2014) Use of a multi-objective teaching-learning algorithm for reduction of power losses in a power test system. DYNA; Vol. 81, núm. 185 (2014); 196-203 Dyna; Vol. 81, núm. 185 (2014); 196-203 2346-2183 0012-7353 .; https://repositorio.unal.edu.co/handle/unal/72529; http://bdigital.unal.edu.co/37002/

Verfügbarkeit: https://repositorio.unal.edu.co/handle/unal/72529
http://bdigital.unal.edu.co/37002/

多目標演化式演算法進行投資組合優化之效能評估 ; Performance Evaluation of Multi-Objective Evolutionary Algorithms for Portfolio Optimization

Autoren: 許益榮 Hsu, Yi-Jung 尹邦嚴 et al.

Weitere Verfasser: 許益榮 Hsu, Yi-Jung 尹邦嚴 et al.

Schlagwörter: 投資組合, 粒子群演算法, 拆解式多目標演化式演算法, 效率前緣, portfolio optimization, particle swarm optimization, multi-objective evolutionary algorithm based on decomposition (MOEA/D), efficient frontier

Dateibeschreibung: 149 bytes; text/html

Relation: http://ir.ncnu.edu.tw:8080/handle/310010000/9573; http://ir.ncnu.edu.tw:8080/bitstream/310010000/9573/1/index.html

Verfügbarkeit: http://ir.ncnu.edu.tw:8080/handle/310010000/9573
http://ir.ncnu.edu.tw:8080/bitstream/310010000/9573/1/index.html