Suchergebnisse - "multi-objective evolutionary algorithm based on decomposition(moea/d)"

Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) for Optimal Design of Hydrogen Supply Chains

Quelle: Computer Aided Chemical Engineering ISBN: 9780128233771

Schlagwörter: 7. Clean energy

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

Aerodynamic–Stealth Optimization of an S-Shaped Inlet Based on Co-Kriging and Parameter Dimensionality Reduction.

Autoren: Hu, Dezhao Jia, Gaowei Yang, Xixiang et al.

Quelle: Aerospace (MDPI Publishing); Nov2025, Vol. 12 Issue 11, p990, 19p

Schlagwörter: MULTI-objective optimization, INLETS, MILITARY technology, DRONE aircraft, COMPUTATIONAL aerodynamics, KRIGING, DIMENSIONAL reduction algorithms

Maritime Rescue Task Allocation and Sequencing Using MOEA/D with Adaptive Operators and Idle-Time-Aware Decoding Strategy.

Autoren: Sun, Jianhua Yu, Suihuai Chu, Jianjie et al.

Quelle: Journal of Marine Science & Engineering; Aug2025, Vol. 13 Issue 8, p1518, 32p

Schlagwörter: SEARCH & rescue operations, MULTI-objective optimization, RESOURCE management, SCHEDULING, DECODING algorithms, MATHEMATICAL optimization

Optimal Technical Indicator Based Trading Strategies Using Evolutionary Multi Objective Optimization Algorithms.

Autoren: Vivek, Yelleti Prasad, P. Shanmukh Kali Madhav, Vadlamani et al.

Quelle: Computational Economics; Jul2025, Vol. 66 Issue 1, p757-807, 51p

Schlagwörter: MULTI-objective optimization, SHARPE ratio, GENETIC algorithms, EVOLUTIONARY algorithms, STOCKS (Finance)

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/

A multi-objective evolutionary algorithm based on decomposition (MOEA/D) for the cellular manufacturing systems design problem

Autoren: So, Jia Yi Wu Kan School of Mechanical and Aerospace Engineering

Weitere Verfasser: So, Jia Yi Wu Kan School of Mechanical and Aerospace Engineering

Schlagwörter: DRNTU::Engineering

Dateibeschreibung: 98 p.; application/pdf

Relation: https://hdl.handle.net/10356/74998

Verfügbarkeit: https://hdl.handle.net/10356/74998

A Multi-Objective Bio-Inspired Optimization for Voice Disorders Detection: A Comparative Study.

Autoren: Habib, Maria Vicente-Palacios, Victor García-Sánchez, Pablo

Quelle: Algorithms; Jun2025, Vol. 18 Issue 6, p338, 17p

Schlagwörter: MACHINE learning, MULTI-objective optimization, VOICE disorders, ARTIFICIAL intelligence, EVOLUTIONARY algorithms, FEATURE selection

Developing a crash severity model based on multi objective evolutionary feature selection approaches.

Autoren: Danesh, Akbar Ehsani, Mehrdad Moghadas Nejad, Fereidoon et al.

Quelle: International Journal of Crashworthiness; Jun2025, Vol. 30 Issue 3, p306-316, 11p

Schlagwörter: OPTIMIZATION algorithms, MACHINE learning, SUPPORT vector machines, GENETIC algorithms, CRASH injuries

Cooperative Sleep and Energy-Sharing Strategy for a Heterogeneous 5G Base Station Microgrid System Integrated with Deep Learning and an Improved MOEA/D Algorithm.

Autoren: Yan, Ming Qin, Tuanfa Guo, Wenhao et al.

Quelle: Energies (19961073); Apr2025, Vol. 18 Issue 7, p1580, 27p

Schlagwörter: CONVOLUTIONAL neural networks, LONG short-term memory, CLEAN energy, TELECOMMUNICATION systems, EVOLUTIONARY algorithms, DEEP learning

Enhanced Multi-Object Dwarf Mongoose Algorithm for Optimization Stochastic Data Fusion Wireless Sensor Network Deployment.

Autoren: Li, Shumin Luo, Qifang Zhou, Yongquan

Quelle: Computer Modeling in Engineering & Sciences (CMES); 2025, Vol. 142 Issue 2, p1955-1994, 40p

Schlagwörter: OPTIMIZATION algorithms, GREY Wolf Optimizer algorithm, PARTICLE swarm optimization, MULTI-objective optimization, EVOLUTIONARY algorithms, WIRELESS sensor networks, SENSOR networks

A Fast and Accurate Yield Optimization Method for Designing Operational Amplifier Using Multi-Objective Evolutionary Algorithm Based on Decomposition.

Autoren: Yaseri, A. Maghami, M. H. Radmehr, M.

Quelle: Journal of Electrical & Computer Engineering Innovations (JECEI); Jan2025, Vol. 13 Issue 1, p43-56, 14p

Schlagwörter: OPTIMIZATION algorithms, EVOLUTIONARY algorithms, INTEGRATED circuit design, MONTE Carlo method, CRITICAL success factor, ANALOG circuits

Solving a multiobjective professional timetabling problem using evolutionary algorithms at Mandarine Academy.

Autoren: Hafsa, Mounir Wattebled, Pamela Jacques, Julie et al.

Quelle: International Transactions in Operational Research; Jan2025, Vol. 32 Issue 1, p244-269, 26p

Schlagwörter: EVOLUTIONARY algorithms, MATHEMATICAL models, SCIENTIFIC literature, GENETIC algorithms, MANDARIN orange

Adaptive knowledge-based multi-objective evolutionary algorithm for hybrid flow shop scheduling problems with multiple parallel batch processing stages.

Autoren: Liu, Feige Li, Xin Lu, Chao et al.

Quelle: Swarm & Evolutionary Computation. Jun2025, Vol. 95, pN.PAG-N.PAG. 1p.

Schlagwörter: Batch processing, Flow shop scheduling, Parallel processing, Manufacturing processes, Semiconductor manufacturing

Configuration Optimization of Distributed Energy System Considering Multi-energy Complementary and Load Metering Devices: A Multi-objective Exponential Distribution Optimization Algorithm.

Autoren: Honghao Liu Tianyu Wen Cheng-Jian Lin et al.

Quelle: Sensors & Materials; 2024, Vol. 36 Issue 11, Part 4, p5049-5063, 15p

A Multi-Objective Optimization Framework for Peer-to-Peer Energy Trading in South Korea's Tiered Pricing System.

Autoren: Kharatovi, Laura Gantassi, Rahma Masood, Zaki et al.

Quelle: Applied Sciences (2076-3417); Dec2024, Vol. 14 Issue 23, p11071, 15p

Schlagwörter: MULTI-objective optimization, CLEAN energy, ENERGY consumption, PARETO analysis, ELECTRICITY pricing