Výsledky vyhľadávania - "Dynamic multi-objective evolutionary algorithms"

Dynamic Multi-Objective Evolutionary Algorithms: An Overview

Autori: Elaine Guerrero-Peña Aluízio Araújo Cícero Garrozi

Zdroj: Learning and Nonlinear Models. 21:55-82

Dynamic multi-objective evolutionary algorithms in noisy environments

Autori: Shaaban Sahmoud Haluk Rahmi Topcuoglu Sahmoud S., TOPCUOĞLU H. R.

Prispievatelia: Shaaban Sahmoud Haluk Rahmi Topcuoglu Sahmoud S., TOPCUOĞLU H. R.

Zdroj: Information Sciences. 634:650-664

Predmety: Social Sciences and Humanities, Information Systems and Management, Social Sciences (SOC), Sosyal Bilimler ve Beşeri Bilimler, Yazılım, Mühendislik, COMPUTER SCIENCE, THEORY & METHODS, ENGINEERING, Biyoenformatik, 02 engineering and technology, BİLGİSAYAR BİLİMİ, TEORİ VE YÖNTEM, Information Systems, Communication and Control Engineering, Sociology, Yapay Zeka, 0202 electrical engineering, electronic engineering, information engineering, COMPUTER SCIENCE, SOFTWARE ENGINEERING, Bilgisayar Bilimi Uygulamaları, Veritabanı ve Veri Yapıları, Computer Sciences, Uncertainty, bioinformatics, BİLGİ BİLİMİ VE KÜTÜPHANE BİLİMİ, Computer Science Applications, Dynamic multi-objective optimization problems, OTOMASYON & KONTROL SİSTEMLERİ, Physical Sciences, Engineering and Technology, Sosyal Bilimler (SOC), Bilgisayar Bilimi, Change detection, Teorik Bilgisayar Bilimi, Bilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği, Control and System Engineering, BİLGİSAYAR BİLİMİ, YAZILIM MÜHENDİSLİĞİ, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, SOCIAL SCIENCES, GENERAL, AUTOMATION & CONTROL SYSTEMS, algorithms, Bilgi Sistemleri ve Yönetimi, Theoretical Computer Science, BİLGİSAYAR BİLİMİ, YAPAY ZEKA, Database and Data Structures, Artificial Intelligence, Library Sciences, INFORMATION SCIENCE & LIBRARY SCIENCE, Sosyal ve Beşeri Bilimler, Bilgisayar Bilimleri, Social Sciences & Humanities, Engineering, Computing & Technology (ENG), Sosyoloji, Noise detection, Mühendislik, Bilişim ve Teknoloji (ENG), Sosyal Bilimler Genel, COMPUTER SCIENCE, Fizik Bilimleri, Control and Systems Engineering, Mühendislik ve Teknoloji, Kütüphanecilik, Algoritmalar, Kontrol ve Sistem Mühendisliği, Software, Noisy optimization problems

Popis súboru: application/pdf

Prístupová URL adresa: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85151471779&origin=inward
https://hdl.handle.net/11424/288790

Solving the rotating seru production problem with dynamic multi-objective evolutionary algorithms

Autori: Yong Yin Kan Fang Feng Liu a ďalší

Zdroj: Journal of Management Science and Engineering, Vol 7, Iss 1, Pp 48-66 (2022)

Predmety: Industrial engineering. Management engineering, 9. Industry and infrastructure, Dynamic multi-objective optimization, Assembly, 8. Economic growth, Cellular manufacturing, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, T55.4-60.8, Evolutionary algorithms, Rotating seru

Prístupová URL adresa: https://doaj.org/article/0aa408907ea747b5894080f749e38327
https://www.sciencedirect.com/science/article/pii/S2096232021000305

A general framework based on dynamic multi-objective evolutionary algorithms for handling feature drifts on data streams

Autori: Haluk Rahmi Topcuoglu Shaaban Sahmoud

Zdroj: Future Generation Computer Systems. 102:42-52

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

Prístupová URL adresa: https://dblp.uni-trier.de/db/journals/fgcs/fgcs102.html#SahmoudT20
https://doi.org/10.1016/j.future.2019.07.069
https://www.sciencedirect.com/science/article/pii/S0167739X19301748

Dynamic multi-objective evolutionary algorithms for single-objective optimization

Autori: Ruwang Jiao Sanyou Zeng Jawdat S. Alkasassbeh a ďalší

Zdroj: Applied Soft Computing. 61:793-805

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

Prístupová URL adresa: https://dblp.uni-trier.de/db/journals/asc/asc61.html#JiaoZAL17
https://www.sciencedirect.com/science/article/pii/S1568494617305124

Exploiting characterization of dynamism for enhancing dynamic multi-objective evolutionary algorithms

Autori: Shaaban Sahmoud Haluk Rahmi Topcuoglu

Zdroj: Applied Soft Computing. 85:105783

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

Prístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S1568494619305642#!
https://www.sciencedirect.com/science/article/pii/S1568494619305642
https://dblp.uni-trier.de/db/journals/asc/asc85.html#SahmoudT19

Dynamic Multi-Objective Evolutionary Algorithms in Noisy Environments

Autori: Sahmoud, Shaaban Topcuoğlu, Haluk Rahmi FSM Vakıf Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü

Prispievatelia: Sahmoud, Shaaban Topcuoğlu, Haluk Rahmi FSM Vakıf Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü

Predmety: Change Detection, Dynamic Multi-Objective Optimization Problems, Noise Detection, Noisy Optimization Problems, Uncertainty

Popis súboru: application/pdf

Relation: Information Sciences; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11352/4525; 634; 650; 664

Dostupnosť: https://hdl.handle.net/11352/4525

Preference integration in progressive dynamic multi-objective evolutionary algorithms

Autori: Newton, David

Thesis Advisors: Paul Kry (Internal/Supervisor)

Predmety: Computer Science

Relation: Pid: 154773

Dostupnosť: https://escholarship.mcgill.ca/concern/theses/nz8062367

Dynamic multi-objective evolutionary algorithms for single-objective optimization.

Autori: Jiao, Ruwang Zeng, Sanyou Alkasassbeh, Jawdat S. a ďalší

Zdroj: Applied Soft Computing. Dec2017, Vol. 61, p793-805. 13p.

Predmety: Evolutionary algorithms, Mathematical optimization, Artificial neural networks, Problem solving, Machine learning

Solving the rotating seru production problem with dynamic multi-objective evolutionary algorithms.

Autori: Feng Liu Kan Fang Jiafu Tang a ďalší

Zdroj: Journal of Management Science & Engineering; Mar2022, Vol. 7 Issue 1, p48-66, 19p

Exploiting characterization of dynamism for enhancing dynamic multi-objective evolutionary algorithms.

Autori: Sahmoud, Shaaban Topcuoglu, Haluk Rahmi

Zdroj: Applied Soft Computing. Dec2019, Vol. 85, pN.PAG-N.PAG. 1p.

Predmety: Scientific community, Evolutionary algorithms, Evolutionary computation

A key-point-based hybrid prediction dynamic multi-objective evolutionary algorithm.

Autori: Yang, Yanxiang Yang, Yongkuan

Zdroj: Evolutionary Intelligence; Aug2025, Vol. 18 Issue 4, p1-20, 20p

Dynamic multi-objective optimization algorithm based on decomposition and preference

Autori: Hu, Yaru Zou, Juan Zheng, Jinhua a ďalší

Predmety: Dynamic multi-objective evolutionary algorithms, Region of interest, Reference points, Changing preference point

Popis súboru: application/pdf

Relation: https://dora.dmu.ac.uk/handle/2086/20858; https://doi.org/10.1016/j.ins.2021.04.055

Dostupnosť: https://dora.dmu.ac.uk/handle/2086/20858
https://doi.org/10.1016/j.ins.2021.04.055

Memory-Assisted Dynamic Multi-Objective Evolutionary Algorithm for Feature Drift Problem

Prispievatelia: Sahmoud, Shaaban Topcuoglu, Haluk Rahmi

Predmety: dynamic multi-objective evolutionary algorithms, learning in non-stationary environments, severity of changes, feature drift, memory-based algorithms, FEATURE-SELECTION, OPTIMIZATION

Relation: 2020 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC); IEEE Congress on Evolutionary Computation; https://hdl.handle.net/11424/226409; WOS:000703998201116

Dostupnosť: https://hdl.handle.net/11424/226409

Memory-Assisted Dynamic Multi-Objective Evolutionary Algorithm for Feature Drift Problem

Prispievatelia: Sahmoud S., Topcuoglu H.R.

Predmety: dynamic multi-objective evolutionary algorithms, feature drift, learning in non-stationary environments, memory-based algorithms, severity of changes

Relation: 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings; https://hdl.handle.net/11424/248120

Dostupnosť: https://hdl.handle.net/11424/248120
https://doi.org/10.1109/CEC48606.2020.9185730

Dynamic Multi-Objective Workflow Scheduling for Cloud Computing Based on Evolutionary Algorithms

Prispievatelia: Sill, A Spillner, J Ismayilov, Goshgar a ďalší

Predmety: Workflow scheduling, resource failures, dynamic multi-objective evolutionary algorithms, OPTIMIZATION

Relation: 2018 IEEE/ACM INTERNATIONAL CONFERENCE ON UTILITY AND CLOUD COMPUTING COMPANION (UCC COMPANION); International Conference on Utility and Cloud Computing; https://hdl.handle.net/11424/226081; WOS:000458720100025

Dostupnosť: https://hdl.handle.net/11424/226081
https://doi.org/10.1109/UCC-Companion.2018.00042

A Type Detection Based Dynamic Multi-objective Evolutionary Algorithm

Autori: TOPCUOĞLU, HALUK RAHMİ Sim, K Kaufmann, P a ďalší

Prispievatelia: TOPCUOĞLU, HALUK RAHMİ Sim, K Kaufmann, P a ďalší

Predmety: Dynamic Multi-objective Optimization Problems, Non-dominated Sorting Genetic Algorithm (NSGA-II), Type detection, Dynamic Multi-objective Evolutionary Algorithms, NSGA-II, OPTIMIZATION

Relation: APPLICATIONS OF EVOLUTIONARY COMPUTATION, EVOAPPLICATIONS 2018; Lecture Notes in Computer Science; https://hdl.handle.net/11424/226045; WOS:000433244800058

Dostupnosť: https://hdl.handle.net/11424/226045
https://doi.org/10.1007/978-3-319-77538-8_58

Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing

Autori: TOPCUOĞLU, HALUK RAHMİ Ismayilov, Goshgar Topcuoglu, Haluk Rahmi

Prispievatelia: TOPCUOĞLU, HALUK RAHMİ Ismayilov, Goshgar Topcuoglu, Haluk Rahmi

Predmety: Workflow scheduling, Resource failures, Changing number of objectives, Dynamic multi-objective evolutionary algorithms, Neural networks, OPTIMIZATION, COST

Relation: FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE; https://hdl.handle.net/11424/235945; WOS:000501936300025

Dostupnosť: https://hdl.handle.net/11424/235945
https://doi.org/10.1016/j.future.2019.08.012

A Discriminative Prediction Strategy Based on Multi-View Knowledge Transfer for Dynamic Multi-Objective Optimization.

Autori: Xu, Hua Zhang, Chenjie Huang, Lingxiang a ďalší

Zdroj: Processes; Mar2025, Vol. 13 Issue 3, p744, 23p

Predmety: MULTI-objective optimization, EVOLUTIONARY algorithms, FORECASTING, ALGORITHMS, KNOWLEDGE transfer

EnsembleFL: A Dynamic Multi-Objective Evolutionary Algorithm based on an Ensemble Feed-forward Prediction.

Autori: Quanheng Zheng¹ 18839555678@163.com

Zdroj: IAENG International Journal of Computer Science. Aug2025, Vol. 52 Issue 8, p2623-2636. 14p.

Predmety: Multi-objective optimization, Evolutionary algorithms, Mathematical optimization, Pragmatism