Suchergebnisse - "multi-objective algorithms"

Wheel and Rail Profile Design: Multi-Objective Optimisation of the Wheel-Rail Interface Using Dynamic Simulations to Minimise Wear and Rolling Contact Fatigue

Autoren: Khoramzad, Elham Casanueva, Carlos Hossein-Nia, Saeed et al.

Weitere Verfasser: Khoramzad, Elham Casanueva, Carlos Hossein-Nia, Saeed et al.

Quelle: TRITA-SCI-FOU.

Schlagwörter: Wheel-rail interaction, profile optimisation, multi-objective algorithms, wear, rolling contact fatigue, curve squeal noise, heavy haul railway, hjul-räl-interaktion, profiloptimering, multiobjektiva algoritmer, slitage, rullkontaktutmattning, kurvskrik, tunggodsjärnväg, Farkostteknik, Vehicle and Maritime Engineering

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-372995
https://kth.diva-portal.org/smash/get/diva2:2014271/FULLTEXT01.pdf

Automation in electrifying flow organic synthesis

Autoren: Tomas Hardwick Nisar Ahmed

Quelle: Tetrahedron Chem, Vol 12, Iss , Pp 100105- (2024)

Schlagwörter: Automation, Flow electrochemistry, Organic electrosynthesis, Multi-objective algorithms, Machine learning algorithms, Organic chemistry, QD241-441

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666951X24000445; https://doaj.org/toc/2666-951X

Zugangs-URL: https://doaj.org/article/5d4a64e3b50e4127875f7de193f9c2fa

An enhanced multi-objective artificial bee colony algorithm with non-dominated sorting strategy

Autoren: Bouali, Hamid Benhala, Bachir Guerbaoui, Mohammed

Quelle: Indonesian Journal of Electrical Engineering and Computer Science; Vol 33, No 3: March 2024; 1736-1747 ; 2502-4760 ; 2502-4752 ; 10.11591/ijeecs.v33.i3

Schlagwörter: physics microelectronics, Crowding distance, Greedy selection, Multi-objective algorithms, Multi-objective metrics, Nondominated sorting, ZDT benchmark

Dateibeschreibung: application/pdf

Relation: https://ijeecs.iaescore.com/index.php/IJEECS/article/view/35303/18059; https://ijeecs.iaescore.com/index.php/IJEECS/article/view/35303

Verfügbarkeit: https://ijeecs.iaescore.com/index.php/IJEECS/article/view/35303
https://doi.org/10.11591/ijeecs.v33.i3.pp1736-1747

Multi-objective Colliding Bodies Optimization Algorithm for the Obnoxious p-median Problems

Autoren: Kaveh, Ali Mahdavi, Vahid Reza

Quelle: Periodica Polytechnica Civil Engineering; Vol. 68 No. 3 (2024); 705-710 ; 1587-3773 ; 0553-6626

Schlagwörter: optimal locating, obnoxious p-median, colliding bodies optimization, graph methods, multi-objective algorithms

Dateibeschreibung: application/pdf

Relation: https://pp.bme.hu/ci/article/view/23567/22230; https://pp.bme.hu/ci/article/view/23567

Verfügbarkeit: https://pp.bme.hu/ci/article/view/23567

An Enhanced Multi-Objective Non-Dominated Sorting Genetic Routing Algorithm for Improving the QoS in Wireless Sensor Networks

Autoren: Mahmoud Moshref Rizik Al-Sayyed Saleh Al-Sharaeh

Quelle: IEEE Access, Vol 9, Pp 149176-149195 (2021)

Schlagwörter: pareto front, Artificial intelligence, Computer Networks and Communications, Wireless Energy Harvesting, Wireless Energy Harvesting and Information Transfer, 02 engineering and technology, Real-time computing, Engineering, Quality of service, Machine learning, FOS: Electrical engineering, electronic engineering, information engineering, Dynamic Source Routing, 0202 electrical engineering, electronic engineering, information engineering, multi-objective algorithms, scheduling, Electrical and Electronic Engineering, wireless sensor networks, Routing (electronic design automation), Computer network, Wireless Sensor Networks: Survey and Applications, Genetic Algorithms, Sorting, Particle swarm optimization, Routing Techniques, Computer science, Distributed computing, TK1-9971, Routing protocol, Multi-objective optimization, Algorithm, Computational Theory and Mathematics, Genetic algorithm, Computer Science, Physical Sciences, Crossover, Electrical engineering. Electronics. Nuclear engineering, Wireless Sensor Networks, Sensor Networks, Distance-vector routing protocol, Multiobjective Optimization in Evolutionary Algorithms, Wireless sensor network, clustering

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09585092.pdf
https://doaj.org/article/d6788be180e145bfa1c187fe93de6519
https://ieeexplore.ieee.org/document/9585092
https://dblp.uni-trier.de/db/journals/access/access9.html#MoshrefAA21

Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness

Autoren: Poyatos Amador, Javier Molina Cabrera, Daniel Martínez-Seras, Aitor et al.

Schlagwörter: Evolutionary Deep Learning, Multi-objective algorithms, Pruning, Out of Distribution detection, Transfer Learning

Relation: https://hdl.handle.net/10481/86661

Verfügbarkeit: https://hdl.handle.net/10481/86661
https://doi.org/10.1016/j.asoc.2023.110757

Fast Pareto Optimization Using Sliding Window Selection for Problems with Determinstic and Stochastic Constraints.

Autoren: Neumann, Frank Witt, Carsten

Quelle: Evol Comput ; ISSN:1530-9304

Schlagwörter: Constraints, Pareto optimization, evolutionary multi-objective algorithms, runtime analysis

Relation: https://doi.org/10.1162/EVCO.a.368; https://pubmed.ncbi.nlm.nih.gov/41172089

Verfügbarkeit: https://doi.org/10.1162/EVCO.a.368
https://pubmed.ncbi.nlm.nih.gov/41172089

BPEL process defects prediction using multi-objective evolutionary search

Autoren: Daaji, Marwa Ouni, Ali Gammoudi, Mohamed et al.

Weitere Verfasser: Daaji, Marwa Ouni, Ali Gammoudi, Mohamed et al.

Quelle: Journal of Systems and Software. 204:111767

Schlagwörter: Multi-objective algorithms, Anti-patterns, BPEL process Anti-patterns Multi-objective algorithms Genetic programming, BPEL process, [INFO] Computer Science [cs], Genetic programming

Improving the quality of service in wireless sensor networks using an enhanced routing genetic protocol for four objectives

Autoren: Moshref, Mahmoud Al-Sayyed, Rizik Al-Sharaeh, Saleh

Quelle: Indonesian Journal of Electrical Engineering and Computer Science; Vol 26, No 2: May 2022; 1182-1196 ; 2502-4760 ; 2502-4752 ; 10.11591/ijeecs.v26.i2

Schlagwörter: Clustering, Multi-objective algorithms, Nodes load balance, Pareto front, Quality of service, Scheduling, Wireless sensor networks

Dateibeschreibung: application/pdf

Relation: https://ijeecs.iaescore.com/index.php/IJEECS/article/view/24714/16352; https://ijeecs.iaescore.com/index.php/IJEECS/article/view/24714

Verfügbarkeit: https://ijeecs.iaescore.com/index.php/IJEECS/article/view/24714
https://doi.org/10.11591/ijeecs.v26.i2.pp1182-1196

An Improved S-Metric Selection Evolutionary Multi-Objective Algorithm With Adaptive Resource Allocation

Autoren: Adriana Menchaca-Mendez Elizabeth Montero Saul Zapotecas-Martinez

Quelle: IEEE Access, Vol 6, Pp 63382-63401 (2018)

Schlagwörter: Evolutionary multi-objective algorithms, 0202 electrical engineering, electronic engineering, information engineering, indicator-based EMOAs, Electrical engineering. Electronics. Nuclear engineering, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, hypervolume indicator, TK1-9971

Zugangs-URL: https://doaj.org/article/523313f999f74ce3a9f4f6a39c71073b
https://ieeexplore.ieee.org/document/8502038/
https://dblp.uni-trier.de/db/journals/access/access6.html#Menchaca-Mendez18
https://researchers.unab.cl/en/publications/an-improved-s-metric-selection-evolutionary-multi-objective-algor

Approaching the bi-objective critical node detection problem with a smart initialization-based evolutionary algorithm

Autoren: Eliézer Béczi Noémi Gaskó

Quelle: PeerJ Computer Science, Vol 7, p e750 (2021)

Schlagwörter: Complex networks, Critical nodes, Bi-objective critical node detection, Multi-objective algorithms, Memetic algorithms, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://peerj.com/articles/cs-750.pdf; https://peerj.com/articles/cs-750/; https://doaj.org/toc/2376-5992

Zugangs-URL: https://doaj.org/article/7926367fe1dc402cafc846c754d63804

Comparison of a novel dominance-based differential evolution method with the state-of-the-art methods for solving multi-objective real-valued optimization problems

Autoren: Tuncay, Mustafa orcid:0000-0002-4884- Haydar, Ali

Schlagwörter: Differential Evolution, Multi-objective Problems, Multi-objective Algorithms, Optimization, Inverted Generational Distance

Relation: https://zenodo.org/records/4899040; oai:zenodo.org:4899040

Verfügbarkeit: https://doi.org/10.21303/2461-4262.2021.001857
https://zenodo.org/records/4899040

Comparison of A Novel Dominance-based Differential Evolution Method with the State-of-the-art Methods for Solving Multi-objective Real-valued Optimization Problems

Autoren: Tuncay, M. (Mustafa) Haydar, A. (Ali)

Quelle: Eureka: Physics and Engineering

Schlagwörter: Inverted Generational Distance, Indonesia, Differential Evolution, Multi-objective Problems, Multi-objective Algorithms, Optimization

Dateibeschreibung: application/pdf

Verfügbarkeit: https://www.neliti.com/publications/554925/comparison-of-a-novel-dominance-based-differential-evolution-method-with-the-sta

Solving Multi-objective Optimal Design and Maintenance for Systems Based on Calendar Times Using NSGA-II

Autoren: Cacereño Ibáñez, Andrés Galván González, Blas José Greiner Sánchez, David Juan et al.

Weitere Verfasser: Cacereño Ibáñez, Andrés Galván González, Blas José Greiner Sánchez, David Juan et al.

Quelle: Computational Methods in Applied Sciences ISBN: 9783030574215
Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences / António Gaspar-Cunha, Jacques Periaux, Kyriakos C. Giannakoglou, Nicolas R. Gauger, Domenico Quagliarella, David Greiner (eds). Computational Methods in Applied Sciences [ISSN 1871-3033], v. 55, p. 245-259, (Enero 2021)
accedaCRIS portal de investigación de la Universidad de las Palmas de Gran Canaria
instname

Schlagwörter: Evolutionary Multi-Objective Algorithms, Preventive Maintenance, Design, Multi-Objective Optimization, NSGA-II, 4. Education, Availability, 120601 Construcción de algoritmos, 15. Life on land, Reliability, 7. Clean energy, 120302 Lenguajes algorítmicos, 120326 Simulación, 120715 Fiabilidad de sistemas, 531108 Niveles óptimos de producción

Zugangs-URL: http://hdl.handle.net/10553/76474

Multi-objective sequence dependent setup times hybrid flowshop scheduling: A literature review

Autoren: F. Ghassemi Tari M. Rezapour Niari

Quelle: International Journal of Research in Industrial Engineering, Vol 7, Iss 3, Pp 254-306 (2018)

Schlagwörter: multi-objective algorithms, hybrid flowshop scheduling, sequence dependent setup times, exact methods, heuristic and metaheuristic algorithms, literature review, Industrial engineering. Management engineering, T55.4-60.8

Dateibeschreibung: electronic resource

Relation: http://www.riejournal.com/article_79915_0bd18bf32f00593d982ccc339a277610.pdf; https://doaj.org/toc/2783-1337; https://doaj.org/toc/2717-2937

Zugangs-URL: https://doaj.org/article/229121f79e7d4451ad2f4fa8b677c780

A bi-objective coordination setup problem in a two-stage production system

Autoren: Ciavotta M. DETTI, PAOLO Meloni C. et al.

Weitere Verfasser: Ciavotta M. DETTI, PAOLO Meloni C. et al.

Quelle: European Journal of Operational Research. 189:734-745

Schlagwörter: Multi-objective algorithms, 0209 industrial biotechnology, Manufacturing systems, Sequencing, Setup minimization, 0211 other engineering and technologies, 02 engineering and technology, Manufacturing systems, Multi-objective algorithms, Sequencing, Setup minimization

Dateibeschreibung: application/pdf

Zugangs-URL: https://ideas.repec.org/a/eee/ejores/v189y2008i3p734-745.html
https://boa.unimib.it/handle/10281/186616
https://www.sciencedirect.com/science/article/pii/S0377221706011817#!
https://EconPapers.repec.org/RePEc:eee:ejores:v:189:y:2008:i:3:p:734-745
https://core.ac.uk/display/53650897
https://dblp.uni-trier.de/db/journals/eor/eor189.html#CiavottaDMP08
https://hdl.handle.net/10281/186616
https://doi.org/10.1016/j.ejor.2006.09.102
https://hdl.handle.net/11365/22007
https://doi.org/10.1016/j.ejor.2006.09.102
https://hdl.handle.net/11573/1583367
https://doi.org/10.1016/j.ejor.2006.09.102
https://hdl.handle.net/11573/1583356
https://hdl.handle.net/11589/19275

On homogenization of coal in longitudinal blending beds

Autoren: Shukla, Pradyumn Kumar Cipold, Michael Bachmann, Claus et al.

Quelle: Shukla, P K & Cipold, M P 2014, On homogenization of coal in longitudinal blending beds. in GECCO 2014-Proceedings of the 2014 Genetic and Evolutionary Computation Conference. GECCO 2014-Proceedings of the 2014 Genetic and Evolutionary Computation Conference, Association for Computing Machinery, pp. 1199-1206, 16th Genetic and Evolutionary Computation Conference, GECCO 2014, Vancouver, BC, Canada, 12/07/14. https://doi.org/10.1145/2576768.2598316

Schlagwörter: Multi-objective algorithms, ddc:330, Economics, Knees, Simulation optimization, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Zugangs-URL: https://dblp.uni-trier.de/db/conf/gecco/gecco2014.html#ShuklaCBS14

A weighted non-connectivity penalty for detection and inference of irregularly shaped clusters.

Autoren: Duarte, Anderson Ribeiro Silva, Spencer Barbosa da Oliveira, Fernando Luiz Pereira de et al.

Schlagwörter: Spatial scan statistic, Irregular clusters, Multi-objective algorithms, Compactness Function

Dateibeschreibung: application/pdf

Relation: DUARTE, A. R. et al. A weighted non-connectivity penalty for detection and inference of irregularly shaped clusters.?Revista Brasileira de Biometria,?v. 35,?p. 160-173,?n. 2017. Dispon?vel em: . Acesso em: 16 jan. 2018.; http://www.repositorio.ufop.br/handle/123456789/9794

Verfügbarkeit: http://www.repositorio.ufop.br/handle/123456789/9794

An Enhanced Multi-Objective Particle Swarm Optimization in Water Distribution Systems Design

Autoren: Mohamed R. Torkomany Hassan Shokry Hassan Amin Shoukry et al.

Quelle: Water
Volume 13
Issue 10

Schlagwörter: particle swarm optimization, 0208 environmental biotechnology, network resilience, 0207 environmental engineering, water distribution systems, multi-objective algorithms, 02 engineering and technology, 6. Clean water

Dateibeschreibung: application/pdf

Zugangs-URL: https://www.mdpi.com/2073-4441/13/10/1334/pdf
https://www.mdpi.com/2073-4441/13/10/1334
https://www.mdpi.com/2073-4441/13/10/1334/pdf

Spectroscopic multicomponent analysis using multi-objective optimization for variable selection

Autoren: Soares, Anderson da Silva Lima, Telma Woerle de Lucena, Daniel Vitor de et al.

Schlagwörter: Multi-objective algorithms, Variable selection, Linear regression

Relation: SOARES, Anderson da Silva; LIMA, Telma Woerle de; LUCENA, Daniel Vitor de; SALVINI, Rogerio Lopes; LAUREANO, Gustavo Teodoro; COELHO, Clarimar José. Spectroscopic multicomponent analysis using multi-objective optimization for variable selection. Computer Technology and Application, New York, v. 4, n. 9, p. 465-474, 2013.; e- 1934-7340; http://repositorio.bc.ufg.br/tede/handle/ri/14867

Verfügbarkeit: http://repositorio.bc.ufg.br/tede/handle/ri/14867
https://doi.org/10.17265/1934-7332/2013.09.004