Suchergebnisse - Genetic algorithm and Multiobjective function

Hybridization of genetic algorithm and local search in multiobjective function optimization: recommendation of GA then LS

Autoren: Ken Harada Shigenobu Kobayashi Kokolo Ikeda

Quelle: Proceedings of the 8th annual conference on Genetic and evolutionary computation. :667-674

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2006/docs/p667.pdf
https://dblp.uni-trier.de/db/conf/gecco/gecco2006.html#HaradaIK06
https://philpapers.org/rec/HARHOG-2

Hybridization of Genetic Algorithm with Local Search in Multiobjective Function Optimization: Recommendation of GA then LS

Autoren: Ken Harada Kokolo Ikeda Jun Sakuma et al.

Quelle: Transactions of the Japanese Society for Artificial Intelligence. 21:482-492

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://www.jstage.jst.go.jp/article/tjsai/21/6/21_6_482/_pdf
https://www.jstage.jst.go.jp/article/tjsai/21/6/21_6_482/_pdf
https://ui.adsabs.harvard.edu/abs/2006TJSAI..21..482H/abstract
https://joi.jlc.jst.go.jp/JST.JSTAGE/tjsai/21.482?from=CrossRef
https://ci.nii.ac.jp/naid/10022006759
https://www.jstage.jst.go.jp/article/tjsai/21/6/21_6_482/_article/-char/ja/

Pareto optimality based PID controller design for vehicle active suspension system using grasshopper optimization algorithm

Autoren: Srinivasa Rao Gampa Siva Kumar Mangipudi Kiran Jasthi et al.

Quelle: Journal of Electrical Systems and Information Technology, Vol 9, Iss 1, Pp 1-18 (2022)

Schlagwörter: Active suspension system, Grasshopper optimization algorithm, Pareto multiobjective function, Genetic algorithm, P–I–D controller, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Information technology, T58.5-58.64

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2314-7172

Zugangs-URL: https://doaj.org/article/6597f7b927404700979bb528b846dc4d

Evolutionary multiobjective design of radial basis function networks for greenhouse environmental control

Autoren: Ferreira, P. M. Ruano, Antonio Fonseca, C. M. et al.

Weitere Verfasser: Ferreira, P. M. Ruano, Antonio Fonseca, C. M. et al.

Schlagwörter: Genetic Algorithms, Greenhouse Environmental Control, Radial Basis Functions, Temperature Prediction, Humidity Prediction

Dateibeschreibung: application/pdf

Relation: 9783902661753; AUT: ARU00698

Verfügbarkeit: http://hdl.handle.net/10400.1/2344

A Genetic Algorithm with Tabu Search for Multimodal and Multiobjective Function Optimization.

Autoren: Terano, Takao

Index Begriffe: Conference Paper., NA.

URL: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100674386

Optimal Water Quality Sensor Placement in Water Distribution Systems: A Computationally Cost-Effective Genetic Algorithm Framework.

Autoren: Zanelli, Elia Nicolini, Matteo Goi, Daniele

Quelle: Water (20734441); Sep2025, Vol. 17 Issue 18, p2786, 22p

Schlagwörter: WATER quality, SENSOR placement, POLLUTION, ENVIRONMENTAL infrastructure, GENETIC algorithms, COST effectiveness

A Genetic Algorithm with Tabu Search for Multimodal and Multiobjective Function Optimization

Quelle: A Genetic Algorithm with Tabu Search for Multimodal and Multiobjective Function Optimization. :291-298

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

A Hybrid Particle Swarm Optimization-Genetic Algorithm for Multiobjective Reservoir Ecological Dispatching.

Autoren: Wu, Xu Shen, Xiaojing Wei, Chuanjiang et al.

Quelle: Water Resources Management; Apr2024, Vol. 38 Issue 6, p2229-2249, 21p

Schlagwörter: PARTICLE swarm optimization, RIVER ecology, RESERVOIRS, WATER security, ALGORITHMS, GENETIC algorithms

Geografische Kategorien: CHANGCHUN (Jilin Sheng, China)

A Novel Multiobjective Function for Finite-Element Model Updating of a Long-Span Cable-Stayed Bridge Using In Situ Static and Dynamic Measurements.

Autoren: Qin, Shiqiang Yuan, Yonggang Han, Shuo et al.

Quelle: Journal of Bridge Engineering; Jan2023, Vol. 28 Issue 1, p1-14, 14p

Schlagwörter: LONG-span bridges, CABLE-stayed bridges, GENETIC algorithms, KRIGING

Isolation Enhancement Based on TM010 and TE30 Mode Characteristics in a Patch Antennas Using Genetic Algorithm Optimization for Ku‐Band Applications.

Autoren: Raveendra, Muddineni Saravanakumar, U. Padmaloshani, P. et al.

Quelle: International Journal of Antennas & Propagation; 7/10/2025, Vol. 2025, p1-18, 18p

Schlagwörter: ANTENNA design, ANTENNAS (Electronics), IMPEDANCE matching, REPRODUCTIVE isolation, PERMITTIVITY, TRANSMITTERS (Communication)

Circuit clustering for cluster-based FPGAs using novel multiobjective genetic algorithms

Autoren: Wang, Yuan Tyrrell, Andy Trefzer, Martin Albrecht

Weitere Verfasser: Wang, Yuan Tyrrell, Andy Trefzer, Martin Albrecht

Schlagwörter: 621.38

Zugangs-URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.680610

Multiobjective generation scheduling using multicore processing-based continuous genetic algorithm.

Autoren: Vakkapatla, Kiran Babu Pinni, Srinivasa Varma Zobaa, Ahmed

Quelle: Cogent Engineering. Jan2020, Vol. 7 Issue 1, p1-21. 21p.

Schlagwörter: Genetic algorithms, Parallel programming, Parallel algorithms, Scheduling, Systems software

Optimal Robust Motion Controller Design Using Multiobjective Genetic Algorithm

Autoren: Andrej Sarjaš Rajko Svečko Amor Chowdhury

Quelle: ScientificWorldJournal
The Scientific World Journal, Vol 2014 (2014)

Schlagwörter: negotovost, Technology, 0209 industrial biotechnology, differential evolution, Science, večciljna optimizacija, optimal robust control, disturbance observer, DOB, 02 engineering and technology, Feedback, Motion, multi-objective optimization, optimalno robustno vodenje, 13. Climate action, diferencialna evolucija, uncertainty systems, Medicine, Algorithms, Research Article

Dateibeschreibung: text/xhtml; application/pdf; text/url

Zugangs-URL: http://downloads.hindawi.com/journals/tswj/2014/978167.pdf
https://pubmed.ncbi.nlm.nih.gov/24987749
https://doaj.org/article/731064b469dd48b5ae34b068c11683fb
https://downloads.hindawi.com/journals/tswj/2014/978167.pdf
http://downloads.hindawi.com/journals/tswj/2014/978167.pdf
https://www.hindawi.com/journals/tswj/2014/978167/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4034650
http://europepmc.org/articles/PMC4034650
https://pubmed.ncbi.nlm.nih.gov/24987749/
https://dk.um.si/IzpisGradiva.php?id=66224
https://doi.org/10.1155/2014/978167
https://hdl.handle.net/20.500.12556/DKUM-66224

Optimizing kernel possibilistic fuzzy C-means clustering using metaheuristic algorithms.

Autoren: Singh, Saumya Srivastava, Smriti

Quelle: Evolving Systems; Aug2024, Vol. 15 Issue 4, p1587-1606, 20p

Power system stabilizer tuning based on multiobjective design using hierarchical and parallel micro genetic algorithm

Autoren: Hongesombut, Komsan Mitani, Yasunori Dechanupaprittha, Sanchai et al.

Quelle: 2004 International Conference on Power System Technology, 2004. PowerCon 2004.. 1:402-407

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Dateibeschreibung: text

Zugangs-URL: https://eprints.soton.ac.uk/266598/1/PowerCon2004_-_HAMGA.pdf
http://www.it.kmitl.ac.th/~kitsuchart/bibtexbrowser.php?key=HongsombutMitaniDechanupapritthaNgamrooPasupaTippayachai%3A2004&bib=kppublications.bib
https://ieeexplore.ieee.org/abstract/document/1460028
https://eprints.soton.ac.uk/266598/
https://scholar.it.kmitl.ac.th/item/id/4526
http://www.montefiore.ulg.ac.be/services/stochastic/pscc05/papers/fp203.pdf
https://eprints.soton.ac.uk/266598/

Design of Optimized Multiobjective Function for Bipedal Locomotion Based on Energy and Stability.

Autoren: Raj, Manish Nandi, Gora C.

Quelle: Journal of Intelligent Systems; Jan2019, Vol. 28 Issue 1, p133-152, 20p

Schlagwörter: ROBOTS, HUMAN-robot interaction, GENETIC algorithms, ROBOT motion, LOCOMOTION

T.: A Genetic Algorithm with Tabu Search for Multimodal and Multiobjective Function Optimization

Autoren: Setsuya Kurahashi Takao Terano The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Setsuya Kurahashi Takao Terano The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2000/GA117.pdf.

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.592.4326; http://www.cs.bham.ac.uk/~wbl/biblio/gecco2000/GA117.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.592.4326
http://www.cs.bham.ac.uk/~wbl/biblio/gecco2000/GA117.pdf

Innovative application of deep learning and genetic algorithm based on biomechanics in enterprise economics and audit management.

Autoren: Quan, Mingyue

Quelle: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 3, p1-13, 13p

Schlagwörter: DEEP learning, GENETIC algorithms, RESOURCE allocation, BIOMECHANICS, ORGANIZATIONAL resilience, AUDITING, MANAGERIAL economics, DECISION making

Multiobjective distributed generation placement using fuzzy goal programming with genetic algorithm

Autoren: Yu Jeong Lee Kyung Bin Song Jin-O Kim et al.

Quelle: European Transactions on Electrical Power. 18:217-230

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://onlinelibrary.wiley.com/doi/abs/10.1002/etep.226
https://onlinelibrary.wiley.com/doi/10.1002/etep.226
https://koreauniv.pure.elsevier.com/en/publications/multiobjective-distributed-generation-placement-using-fuzzy-goal-
https://hanyang.elsevierpure.com/en/publications/multiobjective-distributed-generation-placement-using-fuzzy-goal-

Multiobjective genetic algorithms with application to control engineering problems

Autoren: Fonseca, Carlos Manuel Mira da

Schlagwörter: 629.8, Control systems & control theory

Zugangs-URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318490