Suchergebnisse - component Multi-objective evolutionary algorithm

Automated optimization for steel mold of precast components based on multi-objective evolutionary algorithm

Autoren: Chengran Xu Xuhong Zhou XuChuan Lin et al.

Quelle: Journal of Constructional Steel Research. 221:108914

Multi-Objective Optimization Method for Multi-Module Micro–Nano Satellite Components Assignment and Layout.

Autoren: Zhang, Hao Zhou, Jun Liu, Guanghui

Quelle: Aerospace (MDPI Publishing); Jul2025, Vol. 12 Issue 7, p614, 22p

Schlagwörter: MULTI-objective optimization, MOMENTS of inertia, EVOLUTIONARY algorithms, REQUIREMENTS engineering, PROBLEM solving, ASSIGNMENT problems (Programming)

Solving the Supply-Chain Problem with an Multi-Objective Evolutionary Algorithm

Autoren: null Seyed Mahmood Hashemi

Quelle: Panamerican Mathematical Journal. 35:18-24

An extensible component-based multi-objective evolutionary algorithm framework

Autoren: Sørensen, Jan Corfixen Jørgensen, Bo Nørregaard

Quelle: Sørensen, J C & Jørgensen, B N 2017, An Extensible Component-Based Multi-Objective Evolutionary Algorithm Framework . in Proceedings of the 6th International Conference on Software and Computer Applications . Association for Computing Machinery, pp. 191-197, 6th International Conference on Software and Computer Applications, Bangkok, Thailand, 26/02/2017 . https://doi.org/10.1145/3056662.3056690

Schlagwörter: Multi-objective optimization, Software reuse, Software framework, 0401 agriculture, forestry, and fisheries, Component-based software, 04 agricultural and veterinary sciences, 0405 other agricultural sciences

Zugangs-URL: https://dl.acm.org/citation.cfm?doid=3056662.3056690
https://dl.acm.org/doi/10.1145/3056662.3056690
https://dblp.uni-trier.de/db/conf/icsca/icsca2017.html#SorensenJ17
https://portal.findresearcher.sdu.dk/da/publications/an-extensible-component-based-multi-objective-evolutionary-algori
http://findresearcher.sdu.dk/portal/da/publications/an-extensible-componentbased-multiobjective-evolutionary-algorithm-framework(c7849728-0ac4-475f-843f-2ba506fbc9da).html
https://core.ac.uk/display/80329116
https://portal.findresearcher.sdu.dk/da/publications/c7849728-0ac4-475f-843f-2ba506fbc9da

A neo-cooperation search based evolutionary algorithm for multi-objective electric rope shovel production scheduling

Autoren: Jue Zhang Haifeng Yue Yongpeng Wang et al.

Quelle: Frontiers in Mechanical Engineering, Vol 11 (2025)

Schlagwörter: evolutionary computation, TJ1-1570, multi-obj ective optimization problems, co-evolutionary algorithms, Mechanical engineering and machinery, constrained optimization, sequence optimization

Zugangs-URL: https://doaj.org/article/441730dc571e4cc8ac4e34f209c316f2

An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems

Autoren: Haoxiang Tian Xingshuo Han Guoquan Wu et al.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence. 39:20894-20902

Multi-objective evolutionary algorithm based flexible assembly job-shop rescheduling with component sharing for order insertion

Autoren: Jinghe Sun Zhuo Zhang Guohui Zhang et al.

Quelle: Computers & Operations Research. 169:106744

An Improved Pareto Local Search-Based Evolutionary Algorithm for Multi-Objective Shortest-Path Network Counter-Interdiction Problem.

Autoren: Mao, Chenghui Gao, Ronghuan Luo, Qizhang et al.

Quelle: Mathematics (2227-7390). Aug2025, Vol. 13 Issue 16, p2683. 25p.

Schlagwörter: *MULTI-objective optimization, *DEFENSIVE (Military science), *RESOURCE allocation, *EVOLUTIONARY algorithms

Large-Scale Multiobjective Evolutionary Algorithm Guided by Low-Dimensional Surrogates of Scalarization Functions.

Autoren: Gu, Haoran Wang, Handing He, Cheng et al.

Quelle: Evolutionary Computation; Fall2025, Vol. 33 Issue 3, p309-334, 26p

Schlagwörter: MULTI-objective optimization, EVOLUTIONARY algorithms, OPTIMIZATION algorithms, MATHEMATICAL programming, PREDICTION models, MATHEMATICAL optimization, PRINCIPAL components analysis, NUMERICAL functions

A neo-cooperation search based evolutionary algorithm for multi-objective electric rope shovel production scheduling.

Autoren: Zhang, Jue Yue, Haifeng Wang, Yongpeng et al.

Quelle: Frontiers in Mechanical Engineering; 2025, p1-12, 12p

Schlagwörter: PRODUCTION scheduling, EVOLUTIONARY algorithms, ELECTRONIC data processing, WORKFLOW, MULTIPLE criteria decision making, MATHEMATICAL optimization, EXCAVATING machinery

Many-Objective Intelligent Scheduling Optimization Algorithm for Complex Integrated System.

Autoren: Sang, Yanwei Xu, Yan Zhang, Cai et al.

Quelle: Mathematical & Computational Applications; Oct2025, Vol. 30 Issue 5, p104, 18p

Schlagwörter: OPTIMIZATION algorithms, MULTI-objective optimization, SYSTEM integration, AUTOMATED planning & scheduling, ALUMINUM alloying, INDUSTRIAL efficiency, EVOLUTIONARY algorithms, AEROSPACE industry equipment

An LLM-Empowered Adaptive Evolutionary Algorithm For Multi-Component Deep Learning Systems

Autoren: Tian, Haoxiang Han, Xingshuo Wu, Guoquan et al.

Index Begriffe: Computer Science - Neural and Evolutionary Computing, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2501.00829

A Multi-Objective Evolutionary Algorithm Based on Principal Component Analysis and Grid Division

Autoren: Jing Huang Hecheng Li Mei Ma

Quelle: 2018 14th International Conference on Computational Intelligence and Security (CIS). :201-204

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences

Zugangs-URL: https://dblp.uni-trier.de/db/conf/cis/cis2018.html#MaLH18

A multi-population evolutionary algorithm integrating special selection methods and refraction-based grey wolf optimization for multi-objective problems.

Autoren: Wang, Zilong Shao, Peng Zhang, Shaoping

Quelle: Cluster Computing; 2025, Vol. 28 Issue 11, p1-29, 29p

Schlagwörter: MULTI-objective optimization, EVOLUTIONARY algorithms, MATHEMATICAL optimization, GREY Wolf Optimizer algorithm, OPTIMIZATION algorithms

A GIS-based multi-objective evolutionary algorithm for landslide susceptibility mapping.

Autoren: Razavi-Termeh, Seyed Vahid Hatamiafkoueieh, Javad Sadeghi-Niaraki, Abolghasem et al.

Quelle: Stochastic Environmental Research & Risk Assessment; Oct2025, Vol. 39 Issue 10, p4269-4294, 26p

Schlagwörter: LANDSLIDE hazard analysis, MULTI-objective optimization, EVOLUTIONARY algorithms, FUZZY logic, GEOGRAPHIC information systems, GENETIC algorithms, RISK assessment

Geografische Kategorien: IRAN

A decomposition-based multi-objective evolutionary algorithm with reinforcement learning for workflow scheduling in cloud computing environment.

Autoren: Xue, Fei Wen, Jinbu Wang, Peiwen et al.

Quelle: Cluster Computing; Oct2025, Vol. 28 Issue 10, p1-24, 24p

Schlagwörter: CLOUD computing, MULTI-objective optimization, EVOLUTIONARY algorithms, SCHEDULING, MATHEMATICAL optimization, WORKFLOW management, REINFORCEMENT learning

Two-stage hierarchical evolutionary algorithm based on multi-population for multi-objective distributed heterogeneous welding flow shop scheduling.

Autoren: Xia, Liangcai Chen, Shijun

Quelle: Cluster Computing; Oct2025, Vol. 28 Issue 7, p1-20, 20p

Schlagwörter: MULTI-objective optimization, SCHEDULING, MATHEMATICAL optimization, HEURISTIC, EVOLUTIONARY algorithms, HETEROGENEITY

The MOEADr Package: A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition

Autoren: Felipe Campelo Lucas S. Batista Claus Aranha et al.

Weitere Verfasser: Felipe Campelo Lucas S. Batista Claus Aranha et al.

Quelle: Journal of Statistical Software, Vol 92, Iss 1, Pp 1-39 (2020)
Journal of Statistical Software; Vol 92 (2020); 1-39

Schlagwörter: FOS: Computer and information sciences, Artificial intelligence, Class (philosophy), Component (thermodynamics), Metaheuristic, MOEA/D, 02 engineering and technology, component-oriented design, Sociology, 0202 electrical engineering, electronic engineering, information engineering, Modular design, Component-oriented design, Ecology, Multi-Objective Optimization, Physics, Statistics, Optimization Applications, Mathematical optimization, Computer Science - Neural and Evolutionary Computing, HA1-4737, Programming language, FOS: Sociology, Algorithm, Computational Theory and Mathematics, Application of Genetic Programming in Machine Learning, Physical Sciences, Thermodynamics, multiobjective evolutionary algorithms, R, moea/d, Population, Multiobjective evolutionary algorithms, Artificial Intelligence, Evolutionary algorithm, Machine learning, FOS: Mathematics, Neural and Evolutionary Computing (cs.NE), Swarm Intelligence Optimization Algorithms, Biology, Demography, Decomposition, R package, Computer science, Multi-objective optimization, QA76.75-76.765 Computer Software, FOS: Biological sciences, Computer Science, Nature-Inspired Algorithms, Multiobjective Optimization in Evolutionary Algorithms, Mathematics

Dateibeschreibung: application/pdf; PB

Zugangs-URL: https://www.jstatsoft.org/article/view/v092i06/v92i06.pdf
http://arxiv.org/abs/1807.06731
https://publications.aston.ac.uk/id/eprint/38790/6/v92i06.pdf
https://doaj.org/article/2ea4c49fb3e34ca29eee353c26a48533
https://www.jstatsoft.org/index.php/jss/article/view/v092i06
https://arxiv.org/pdf/1807.06731
http://export.arxiv.org/pdf/1807.06731
https://arxiv.org/abs/1807.06731
http://ui.adsabs.harvard.edu/abs/2018arXiv180706731C/abstract
http://export.arxiv.org/abs/1807.06731

基于半监督迁移学习的动态多目标进化算法. (Chinese)

Alternate Title: A semi-supervised transfer learning based dynamic multi-objective evolutionary algorithm for dynamic multi-objective optimization. (English)

Autoren: 刘阚蓉 李 岩 谭树彬 et al.

Quelle: Control Theory & Applications / Kongzhi Lilun Yu Yinyong; Jan2025, Vol. 42 Issue 1, p1-12, 12p

Schlagwörter: MULTI-objective optimization, OPTIMIZATION algorithms, PARETO optimum, PREDICTION models, KNOWLEDGE transfer, EVOLUTIONARY algorithms

Sectorization of Water Distribution Network through a Multi-Objective Evolutionary Algorithm

Autoren: Caetano, João Carriço, Nelson Covas, Dídia

Schlagwörter: Civil engineering not elsewhere classified