Suchergebnisse - "Dynamic Multi-Objective Optimization Problems"

Dynamic multi-objective evolutionary algorithms in noisy environments

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

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

Quelle: Information Sciences. 634:650-664

Schlagwörter: 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

Dateibeschreibung: application/pdf

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

Decision-maker’s preference-driven dynamic multi-objective optimization

Autoren: Adekoya, Adekunle Rotimi Helbig, Marde

Schlagwörter: Dynamic multi-objective optimization problems (DMOPs), Performance measures, Differential evolution, Decision-maker preference, Constrained optimization

Dateibeschreibung: application/pdf

Relation: http://hdl.handle.net/2263/93971

Verfügbarkeit: http://hdl.handle.net/2263/93971
https://doi.org/10.3390/a16110504

A Distributed Bi-Behaviors Crow Search Algorithm for Dynamic Multi-Objective Optimization and Many-Objective Optimization Problems

Autoren: Ahlem Aboud Nizar Rokbani Bilel Neji et al.

Quelle: Applied Sciences, Vol 12, Iss 19, p 9627 (2022)

Schlagwörter: beta function, crow search algorithm, dynamic multi-objective optimization problems, evolutionary algorithm, many-objective optimization problems, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2076-3417/12/19/9627; https://doaj.org/toc/2076-3417

Zugangs-URL: https://doaj.org/article/e86ff5f9d09946fb95ccefca953df508

An Investigation of Hybrid Framework for Dynamic Multi Objective Problems

Autoren: Berna KİRAZ

Quelle: Gazi Üniversitesi Fen Bilimleri Dergisi, Vol 6, Iss 1, Pp 17-32 (2018)

Schlagwörter: Dynamic multi-objective optimization problems, Hyper-heuristics, Multi-objective evolutionary algorithms, Engineering (General). Civil engineering (General), TA1-2040, Science, Science (General), Q1-390

Dateibeschreibung: electronic resource

Relation: http://dergipark.gov.tr/download/article-file/434850; https://doaj.org/toc/2147-9526

Zugangs-URL: https://doaj.org/article/c5c1db13cfa248ee892c9e120c883df8

A Novel Coupling Algorithm Based on Glowworm Swarm Optimization and Bacterial Foraging Algorithm for Solving Multi-Objective Optimization Problems

Autoren: Yechuang Wang Zhihua Cui Wuchao Li

Quelle: Algorithms, Vol 12, Iss 3, p 61 (2019)

Schlagwörter: multi-objective optimization (MOP), coupling algorithm, glowworm swarm optimization (GSO), bacterial foraging algorithm (BFO), dynamic multi-objective optimization problems (dMOP), the simulation binary crossover (SBX), polynomial mutation, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95

Relation: http://www.mdpi.com/1999-4893/12/3/61; https://doaj.org/toc/1999-4893; https://doaj.org/article/6c526641783947c6b4b229a191332a24

Verfügbarkeit: https://doi.org/10.3390/a12030061
https://doaj.org/article/6c526641783947c6b4b229a191332a24

Dinamik Çok Amaçlı Eniyileme Problemleri için Hibrid Çerçevenin İncelenmesi ; An Investigation of Hybrid Framework for Dynamic Multi- Objective Problems

Autoren: Kiraz, Berna FSM Vakıf Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü

Weitere Verfasser: Kiraz, Berna FSM Vakıf Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü

Schlagwörter: Dinamik Çok Amaçlı Eniyileme Problemleri, Üst-Sezgiseller, Çok Amaçlı Evrimsel Algoritmalar, Dynamic Multi-Objective Optimization Problems, Hyper-Heuristics, Multi-Objective Evolutionary Algorithms

Dateibeschreibung: application/pdf

Relation: Fen Bilimleri Dergisi; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://dergipark.org.tr/tr/pub/gujsc/issue/34039/298574; https://hdl.handle.net/11352/3575; 17; 32

Verfügbarkeit: https://hdl.handle.net/11352/3575
https://dergipark.org.tr/tr/pub/gujsc/issue/34039/298574

Dynamic Multi-Objective Evolutionary Algorithms in Noisy Environments

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

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

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

Dateibeschreibung: application/pdf

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

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

Teaching-Learning Based Algorithm for Numerical Dynamic Multi-Objective Optimization Problems

Autoren: Elsawi, Salwa Elsayed Mohamed Acan, Adnan

Weitere Verfasser: Elsawi, Salwa Elsayed Mohamed Acan, Adnan

Schlagwörter: Thesis Tez, Computer Engineering Department, Artificial Intelligence, Optimization Problems, Dynamic Multi-Objective Optimization Problems, Optimization Algorithms, Teaching Learning Based Optimization, Pareto-Front, Pareto-Set

Relation: https://hdl.handle.net/11129/6483

Verfügbarkeit: https://hdl.handle.net/11129/6483

Recent Advances in Machine Learning and Computational Intelligence

Weitere Verfasser: Wu, Yue Zhang, Xinglong Jia, Pengfei

Schlagwörter: left ventricle segmentation, UNet 3+, encoder–decoder, transformer, magnetic resonance imaging, beta function, crow search algorithm, dynamic multi-objective optimization problems, evolutionary algorithm, many-objective optimization problems, naive Bayesian classifier, attribute independence assumption, mixed-attribute classification, conditional probability, Bayesian network, attribute transformation, subsection proximal policy optimization, weighted importance sampling, TORCS, vehicle-following, autonomous driving, credit scoring, machine learning, deep learning, model predictive control, reinforcement learning, parameter adaptive, quadruped robot, facial skin problem, mask R-CNN

Dateibeschreibung: image/jpeg

Relation: ONIX_20230623_9783036574820_57; https://mdpi.com/books/pdfview/book/7288

Verfügbarkeit: https://directory.doabooks.org/handle/20.500.12854/100825
https://hdl.handle.net/20.500.12854/100825
https://mdpi.com/books/pdfview/book/7288

A Type Detection Based Dynamic Multi-objective Evolutionary Algorithm

Autoren: TOPCUOĞLU, HALUK RAHMİ Sim, K Kaufmann, P et al.

Weitere Verfasser: TOPCUOĞLU, HALUK RAHMİ Sim, K Kaufmann, P et al.

Schlagwörter: 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

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

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

Autoren: TOPCUOĞLU, HALUK RAHMİ Sahmoud, Shaaban Topcuoglu, Haluk Rahmi

Weitere Verfasser: TOPCUOĞLU, HALUK RAHMİ Sahmoud, Shaaban Topcuoglu, Haluk Rahmi

Schlagwörter: Dynamic multi-objective optimization problems, Dynamic multi-objective evolutionary algorithms, Change detection, Characterization of change, OPTIMIZATION

Relation: APPLIED SOFT COMPUTING; https://hdl.handle.net/11424/235264; WOS:000500691600063

Verfügbarkeit: https://hdl.handle.net/11424/235264
https://doi.org/10.1016/j.asoc.2019.105783

A Memory-Based NSGA-II Algorithm for Dynamic Multi-objective Optimization Problems

Autoren: TOPCUOĞLU, HALUK RAHMİ Squillero, G Burelli, P et al.

Weitere Verfasser: TOPCUOĞLU, HALUK RAHMİ Squillero, G Burelli, P et al.

Schlagwörter: NSGA-II, Dynamic multi-objective optimization problems, Memory/search algorithms, Hybrid genetic algorithms

Relation: APPLICATIONS OF EVOLUTIONARY COMPUTATION, EVOAPPLICATIONS 2016, PT II; Lecture Notes in Computer Science; https://hdl.handle.net/11424/225707; WOS:000467438600020

Verfügbarkeit: https://hdl.handle.net/11424/225707
https://doi.org/10.1007/978-3-319-31153-1_20

A benchmark generator for dynamic multi-objective optimization problems

Autoren: Jiang, Shouyong Yang, Shengxiang Jiang

Schlagwörter: Dynamic multi-objective optimization problems, benchmark generator

Dateibeschreibung: application/pdf

Relation: https://dora.dmu.ac.uk/handle/2086/18981; https://doi.org/10.1109/UKCI.2014.6930171

Verfügbarkeit: https://dora.dmu.ac.uk/handle/2086/18981
https://doi.org/10.1109/UKCI.2014.6930171

基于基于模因算法的动态多目标优化问题的研究 ; Research on Dynamic Multi-objective Optimization Problems Based on Memetic Algorithm

Autoren: 李艺贞 曾文华

Weitere Verfasser: 李艺贞 曾文华

Quelle: http://210.34.4.13:8080/lunwen/detail.asp?serial=35627.

Schlagwörter: 动态多目标优化, 模因算法, 局部模因算子, Dynamic Multi-objective Optimization Problems, Memetic Algorithm, Local Meme Operator

Relation: http://210.34.4.28/opac/openlink.php?strText=33961&doctype=ALL&strSearchType=callno; http://dspace.xmu.edu.cn/handle/2288/44829

Verfügbarkeit: http://dspace.xmu.edu.cn/handle/2288/44829