Suchergebnisse - "Multi-objective evolutionary algorithms"

Balancing Metabolic Homeostasis and Enzyme Cost with Multi-Objective Evolutionary Algorithms

Autoren: Lequertier, Arthur Liebermeister, Wolfram Tonda, Alberto

Weitere Verfasser: Lequertier, Arthur Liebermeister, Wolfram Tonda, Alberto

Quelle: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :855-858

Schlagwörter: [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.inrae.fr/hal-05195025v1

Result diversification with negative type distances by multi-objective evolutionary algorithms

Autoren: Dan-Xuan Liu Chao Qian

Quelle: Fundamental Research, Vol 5, Iss 6, Pp 2892-2900 (2025)

Schlagwörter: Result diversification, Monotone submodular functions, Diversities, Negative type distances, Multi-objective evolutionary algorithms, Science (General), Q1-390

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2667325823001140; https://doaj.org/toc/2667-3258

Zugangs-URL: https://doaj.org/article/13c8b4add135459c8ed22578087622e7

Tracing Genome Influence in Multi-Objective Evolutionary Algorithms

Autoren: Tobias Benecke Sanaz Mostaghim

Quelle: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :1807-1815

On multi-objective evolutionary algorithms

Autoren: Fontes, Dalila B. M. M. Gaspar-Cunha, A. Universidade do Minho

Weitere Verfasser: Fontes, Dalila B. M. M. Gaspar-Cunha, A. Universidade do Minho

Dateibeschreibung: application/pdf

Relation: 9783540928270; 1384-6485

Verfügbarkeit: https://hdl.handle.net/1822/13258

Comparative Study on Single-Objective and Multi-objective Evolutionary Algorithms in the Parameter Optimization of Excavation Mechanism for Hydraulic Shovel

Autoren: Gongyue Xu Yuheng Zhou Zhiwen Zhang et al.

Quelle: Lecture Notes in Mechanical Engineering ISBN: 9789819655298

Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces

Autoren: Doerr, Benjamin Krejca, Martin S. Rudolph, Günter

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence. 39:26955-26963

Schlagwörter: FOS: Computer and information sciences, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE)

Zugangs-URL: http://arxiv.org/abs/2412.11684

Real-World Cardboard Production Optimization Using Multi-Objective Evolutionary Algorithms

Autoren: Iori Minakawa Shio Kawakami Hiroyuki Miyashita et al.

Quelle: 2025 IEEE Congress on Evolutionary Computation (CEC). :1-8

ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-Objective Evolutionary Algorithms [Application Notes]

Autoren: Yuxin Ma Zherui Zhang Ran Cheng et al.

Quelle: IEEE Computational Intelligence Magazine. 20:78-94

Zugangs-URL: https://pub.uni-bielefeld.de/record/3000215
https://doi.org/10.1109/mci.2024.3487134

A Comprehensive Analysis on Enhancing Multi-Objective Evolutionary Algorithms Using Chaotic Dynamics and Dominant Relationship-Based Search Strategies

Autoren: Zitong Wang Yan Pei Jianqiang Li

Quelle: IEEE Access, Vol 13, Pp 33455-33470 (2025)

Schlagwörter: Evolutionary multi-objective optimization, search strategy, chaotic evolution, Electrical engineering. Electronics. Nuclear engineering, multi-objective optimization problem, multi-objective chaotic evolution algorithm, optimization, TK1-9971

Zugangs-URL: https://doaj.org/article/4bb3456137b84551b16609a9703403f2

ParetoTracker: Understanding Population Dynamics in Multi-Objective Evolutionary Algorithms Through Visual Analytics

Autoren: Zherui Zhang Fan Yang Ran Cheng et al.

Quelle: IEEE Transactions on Visualization and Computer Graphics. 31:820-830

Schlagwörter: FOS: Computer and information sciences, Computer Science - Human-Computer Interaction, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), Human-Computer Interaction (cs.HC)

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39255166
http://arxiv.org/abs/2408.04539

EvoFolio: a portfolio optimization method based on multi-objective evolutionary algorithms

Autoren: Alfonso Guarino Domenico Santoro Luca Grilli et al.

Weitere Verfasser: Alfonso Guarino Domenico Santoro Luca Grilli et al.

Quelle: Neural Computing and Applications. 36:7221-7243

Schlagwörter: Stock market, Portfolio optimization, Multi-objective evolutionary algorithms, Realistic genetic operator, 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://hdl.handle.net/11386/4898535
https://doi.org/10.1007/S00521-024-09456-W

Revolutionizing population sparsity assessment: machine learning–powered solutions for multi-objective evolutionary algorithms

Autoren: Xuepeng Ren Maocai Wang Guangming Dai et al.

Quelle: Engineering Optimization. :1-34

A Review of the Evolution of Multi-Objective Evolutionary Algorithms

Autoren: Thomas Hanne Mohammad Jahani Moghaddam

Quelle: Computers, Materials & Continua. 0:1-10

MORSE: An Adaptive Decision-Making Framework Combining Reinforcement Learning and Multi-Objective Evolutionary Algorithms for Dynamic Inventory Control

Autoren: Niki Kotecha Antonio del Rio Chanona

Quelle: IFAC-PapersOnLine. 59:235-240

Maximizing the hydrogen content for methanol steam reforming processes by using the novel pareto-based multi-objective evolutionary algorithms

Autoren: Ümit Ağbulut Hüseyin Bakır Hao Jie Mo et al.

Weitere Verfasser: Ümit Ağbulut Hüseyin Bakır Hao Jie Mo et al.

Quelle: International Journal of Hydrogen Energy. 90:1467-1476

Schlagwörter: Hydrogen-rich gas, Parameter optimization, Syngas composition, Methanol steam reforming, Pareto-based MOEAs

Zugangs-URL: https://avesis.yildiz.edu.tr/publication/details/3a3556fc-9783-4740-bffd-e1e830d81640/oai
https://hdl.handle.net/11376/5470
https://doi.org/10.1016/j.ijhydene.2024.10.051

Automated High-Throughput Screening and Design of Integrin-Targeted Peptide Libraries for Enhanced Cell Adhesion Modulation via Bayesian Optimization and Multi-objective Evolutionary Algorithms

Autoren: Freederia AI Researcher

Simultaneous optimization of design and maintenance for systems using multi-objective evolutionary algorithms and discrete simulation

Autoren: Andrés Cacereño David Greiner Blas Galván et al.

Weitere Verfasser: Andrés Cacereño David Greiner Blas Galván et al.

Quelle: Soft Computing [ISSN 1432-7643], (Enero 2023)
accedaCRIS portal de investigación de la Universidad de las Palmas de Gran Canaria
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Schlagwörter: Preventive Maintenance, 120302 Lenguajes algorítmicos, Multi-Objective Evolutionary Algorithms, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Availability, 02 engineering and technology, Optimum Design

Zugangs-URL: http://hdl.handle.net/10553/124106

Efficient Multi-Objective Evolutionary Algorithms for Railway Train Platforming Rescheduling Under Arrival Delays

Autoren: Shuxin Ding Tao Zhang Zhiming Yuan et al.

Quelle: 2024 China Automation Congress (CAC). :6076-6082

Combining multi-objective evolutionary algorithms with deep generative models towards focused molecular design

Autoren: Sousa, Tiago Correia, João Pereira, Vítor et al.

Weitere Verfasser: Sousa, Tiago Correia, João Pereira, Vítor et al.

Schlagwörter: Molecular design, Deep generative models, Multi-objective evolutionary algorithms

Dateibeschreibung: application/pdf

Relation: 9783030726980; 0302-9743

Verfügbarkeit: https://hdl.handle.net/1822/74509

Multi-Objective Evolutionary Algorithms in Waste Disposal Systems: A Comprehensive Review of Applications, Case Studies, and Future Directions

Autoren: Saad Talal Alharbi

Quelle: Computers, Vol 14, Iss 8, p 316 (2025)

Schlagwörter: multi-objective evolutionary algorithms, waste disposal system, case studies, sustainability, waste collection and routing, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2073-431X/14/8/316; https://doaj.org/toc/2073-431X

Zugangs-URL: https://doaj.org/article/7bb96c83965748238fc409f6d9538e60