Suchergebnisse - "multi-objective evolutionary algorithms"

Competition-based two-stage evolutionary algorithm for constrained multi-objective optimization

Autoren: Lupeng Hao Weihang Peng Junhua Liu et al.

Quelle: Mathematics and Computers in Simulation. 230:207-226

Schlagwörter: constrained multi-objective evolutionary algorithms, Biology and other natural sciences, three-criteria ranking, competitive, Operations research, mathematical programming, two-stage

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/8031638
https://doi.org/10.1016/j.matcom.2024.11.009

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

Multilevel learning aided coevolutionary particle swarm optimization algorithm for multiobjective fuzzy flexible job shop scheduling problem

Autoren: Juan Chen Hong Zhao Zhiya Cui et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-23 (2025)

Schlagwörter: Multi-objective evolutionary algorithms, Multi-level learning-aided, Particle swarm optimization, Multi-objective fuzzy flexible job shop scheduling problem, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/b03e77038b72487d86f15de0e03736be

Subsonic Jet Noise Prediction in Near and Far Field with Optimized Wave-Packet Approach

Autoren: Giorgio Palma Stefano Meloni Roberto Camussi et al.

Quelle: AIAA Journal. 62:4144-4152

Schlagwörter: Acoustic Scattering, Turbulent-Jet Wave Packets, Inverse Problems, Aircraft Components and Structure, Multi-Objective Evolutionary Algorithms, Computational Fluid Dynamics, 02 engineering and technology, Aircraft Noise, 01 natural sciences, 0203 mechanical engineering, Jet Noise, 0103 physical sciences, Aeroacoustics, Reduced Order Model

Dateibeschreibung: application/pdf

Evolutionary Multiobjective Multicast Virtual Network Function Placement in NFV-SDN Networks

Autoren: Luis G. Moré Carlos Cañete Cristhian Medina et al.

Quelle: CLEI Electronic Journal, Vol 28, Iss 5 (2025)

Schlagwörter: Multicast Routing, Software-Defined Networks, Network Functions Virtualization, Multi-objective Evolutionary Algorithms, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://clei.org/cleiej/index.php/cleiej/article/view/790; https://doaj.org/toc/0717-5000

Zugangs-URL: https://doaj.org/article/85ed2514faa74ab6b402c1112123ad5c

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

Multivariate adaptive regression splines-assisted approximate Bayesian computation for calibration of complex hydrological models

Autoren: Jinfeng Ma Ruonan Li Hua Zheng et al.

Quelle: Journal of Hydroinformatics, Vol 26, Iss 2, Pp 503-518 (2024)

Schlagwörter: bayesian inference, 0208 environmental biotechnology, 0207 environmental engineering, Information technology, 02 engineering and technology, surrogate model, T58.5-58.64, Environmental technology. Sanitary engineering, multi-objective evolutionary algorithms, TD1-1066, approximate bayesian computation, multivariate adaptive regression splines

Zugangs-URL: https://doaj.org/article/46387f021b7149c2923510e5b54c8705

Latency-Aware Multi-Objective Fog Scheduling: Addressing Real-Time Constraints in Distributed Environments

Autoren: Lokman Altin Haluk Rahmi Topcuoglu Fikret Sadik Gürgen

Quelle: IEEE Access, Vol 12, Pp 62543-62557 (2024)

Schlagwörter: task scheduling, multi-objective optimization, directed acyclic graphs, 0202 electrical engineering, electronic engineering, information engineering, Fog computing, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, latency-constrained applications, multi-objective evolutionary algorithms, TK1-9971

Zugangs-URL: https://doaj.org/article/90a14f5933aa43ae889ac725862026f9

A Multi-Objective Evolutionary Algorithm Based on Uniformity and Diversity to Handle Regular and Irregular Pareto Front Shapes

Autoren: Luis A. Márquez-Vega Jesús Guillermo Falcón-Cardona and Edgar Covantes Osuna

Quelle: IEEE Access, Vol 12, Pp 158878-158907 (2024)

Schlagwörter: Pareto front shape invariant performance, pair-potential energy function, niching selection, reference sets, Electrical engineering. Electronics. Nuclear engineering, Multi-objective evolutionary algorithms, TK1-9971

Zugangs-URL: https://doaj.org/article/a10e69643b324bc8b1c546327fe4f584

Data driven multi-objective optimization of the scheduling for towing a floating offshore wind turbine between assembly port and installation location throughout a year

Autoren: Frédéric Le Pivert Adam Roberts Adán López-Santander et al.

Quelle: Applied Ocean Research, Vol 157, Iss , Pp 104492- (2025)

Schlagwörter: Towing, Routing optimization, Multi-objective evolutionary algorithms, Floating offshore wind, Scheduling, Ocean engineering, TC1501-1800

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S014111872500080X; https://doaj.org/toc/1879-1549

Zugangs-URL: https://doaj.org/article/6ded5327133d42eabd4dcf5c7fde87e8

Evolutionary multiobjective multiple description wavelet based image coding in the presence of mixed noise in images

Autoren: Kusetogullari, Hüseyin Yavariabdi, Amir

Quelle: Applied Soft Computing. 73:1039-1052

Schlagwörter: Adaptive and optimal quantizer design, Mixed Gaussian impulse noise reduction, Multi-objective formulation and optimization, Multiple description coding (MDC) for multimedia communication, Wavelets, Codes (symbols), Complex networks, Evolutionary algorithms, Gaussian distribution, Image segmentation, Impulse noise, Multimedia systems, Noise abatement, Pareto principle, Problem solving, Wavelet transforms, Dual tree complex wavelet transform (DT-CWT), Multi objective evolutionary algorithms, Multi-media communications, Multi-objective formulation, Multimedia transmissions, Quantizer design, Wavelet-based image coding, Image coding

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-17199
https://bth.diva-portal.org/smash/get/diva2:1260092/FULLTEXT01.pdf

Evolutionary auto-design for aircraft engine cycle

Autoren: Xudong Feng Zhening Liu Feng Wu et al.

Quelle: Complex & Intelligent Systems, Vol 10, Iss 2, Pp 3169-3180 (2023)

Schlagwörter: Mixed variable encoding, Engineering design, Electronic computers. Computer science, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, Information technology, 02 engineering and technology, T58.5-58.64, Multi-objective evolutionary algorithms, 7. Clean energy

Zugangs-URL: https://doaj.org/article/beb9bf58f2a0414f80f228db95d173ea

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

Multi-Objective Optimization of 12-Pole Radial Active Magnetic Bearings with Preference-Based MOEA/D Algorithm

Autoren: Xueqing Li Xiaoyuan Wang Haoyu Shen

Quelle: Energies, Vol 18, Iss 16, p 4299 (2025)

Schlagwörter: magnetic bearing, multi-objective optimization, decomposition-based multi-objective evolutionary algorithms, Technology

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1996-1073/18/16/4299; https://doaj.org/toc/1996-1073

Zugangs-URL: https://doaj.org/article/bf34608c7a0d44f1b4d15126700fdc71

Development of a multi-objective decision support system for eco-hydrological forest management that quantifies and optimizes ecosystem services related to Carbon, Water, Fire-risk and Eco-resilience (CAFE)

Autoren: Pérez Romero, Javier González Sanchis, María del Carmen Blanco Cano, Laura et al.

Weitere Verfasser: Pérez Romero, Javier González Sanchis, María del Carmen Blanco Cano, Laura et al.

Schlagwörter: Process-based models, Multi-objective evolutionary algorithms, Quantification, Optimization, Forest management

Dateibeschreibung: application/pdf

Relation: Journal of Environmental Management; info:eu-repo/grantAgreement/EC//LIFE17 CCA%2FES%2F000063//Coupling water, fire and climate resilience with biomass production in Forestry to adapt watersheds to climate change/; https://doi.org/10.1016/j.jenvman.2025.125103; https://riunet.upv.es/handle/10251/220914

Verfügbarkeit: https://riunet.upv.es/handle/10251/220914
https://doi.org/10.1016/j.jenvman.2025.125103

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

Pareto-optimal design of water distribution networks: an improved graph theory-based approach

Autoren: Mohsen Hajibabaei Sina Hesarkazzazi Amin Minaei et al.

Quelle: Journal of Hydroinformatics, Vol 25, Iss 5, Pp 1909-1926 (2023)

Schlagwörter: Pareto fronts, pareto fronts, 0208 environmental biotechnology, 0207 environmental engineering, Information technology, 02 engineering and technology, complex network analysis, T58.5-58.64, Environmental technology. Sanitary engineering, 6. Clean water, resilience, multi-objective evolutionary algorithms, TD1-1066

Zugangs-URL: https://doaj.org/article/829e8dc41df84b478e8e076bd29b1f60

Evolutionary optimization of many-objective problems with irregular Pareto fronts

Autoren: Liu, Qiqi Jin, Yaochu

Weitere Verfasser: Liu, Qiqi Jin, Yaochu

Schlagwörter: Multi-objective Evolutionary Algorithms, Surrogate-assisted Evolutionary Algorithms, Irregular Pareto Fronts, Reference Vectors

Zugangs-URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.856286

Efficient methods for determining installed performance of antennas on large vehicles

Autoren: Emmett, Chris

Schlagwörter: Antennas, Coupling, Installed Performance, Ground Plane, Radiation Pattern, Computational Electromagnetics, Uniform Geometrical Theory of Diffraction (UTD), Evolutionary Algorithms, genetic algorithm, Multi-Objective Problem (MOP), Multi-Objective Evolutionary Algorithms (MOEA)

Zugangs-URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.830190

Spatial and sectoral benefit distribution in water-energy system design

Autoren: Gonzalez, Jose M. Tomlinson, James E. Harou, Julien J. et al.

Quelle: Applied Energy. 269

Schlagwörter: Water-energy system design, Multi-sector benefit distribution, Multi-objective robust optimisation under uncertainty, Multi-objective evolutionary algorithms, data- och systemvetenskap, Computer and Systems Sciences

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-182822
https://doi.org/10.1016/j.apenergy.2020.114794