Výsledky vyhledávání - dynamic multi-objective evolutionary algorithms

A Comprehensive Analysis on Enhancing Multi-Objective Evolutionary Algorithms Using Chaotic Dynamics and Dominant Relationship-Based Search Strategies

Autoři: Zitong Wang Yan Pei Jianqiang Li

Zdroj: IEEE Access, Vol 13, Pp 33455-33470 (2025)

Témata: Evolutionary multi-objective optimization, search strategy, chaotic evolution, Electrical engineering. Electronics. Nuclear engineering, multi-objective optimization problem, multi-objective chaotic evolution algorithm, optimization, TK1-9971

Přístupová URL adresa: https://doaj.org/article/4bb3456137b84551b16609a9703403f2

Performance Benchmarking of Multi-Objective Surrogate-Assisted Evolutionary Algorithms on a Novel Computational Fluid Dynamics Test Case

Autoři: Ben Moore Andrew Roberts Daniel Jarman a další

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :2472-2480

ParetoTracker: Understanding Population Dynamics in Multi-Objective Evolutionary Algorithms Through Visual Analytics

Autoři: Zherui Zhang Fan Yang Ran Cheng a další

Zdroj: IEEE Transactions on Visualization and Computer Graphics. 31:820-830

Témata: FOS: Computer and information sciences, Computer Science - Human-Computer Interaction, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), Human-Computer Interaction (cs.HC)

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39255166
http://arxiv.org/abs/2408.04539

MORSE: An Adaptive Decision-Making Framework Combining Reinforcement Learning and Multi-Objective Evolutionary Algorithms for Dynamic Inventory Control

Autoři: Niki Kotecha Antonio del Rio Chanona

Zdroj: IFAC-PapersOnLine. 59:235-240

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

Autoři: Quanheng Zheng¹ 18839555678@163.com

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

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

Multi-Objective Evolutionary Algorithms with Sliding Window Selection for the Dynamic Chance-Constrained Knapsack Problem

Autoři: Kokila Kasuni Perera Aneta Neumann

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference. :223-231

Témata: FOS: Computer and information sciences, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE)

Přístupová URL adresa: http://arxiv.org/abs/2404.08219

Dynamic multi-objective evolutionary algorithms in noisy environments

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

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

Zdroj: Information Sciences. 634:650-664

Témata: 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 souboru: application/pdf

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

A multi-population multi-objective maritime inventory routing optimization algorithm with three-level dynamic encoding

Autoři: Tianyu Liu Jiaping Liu He Xu

Zdroj: Sci Rep
Scientific Reports, Vol 15, Iss 1, Pp 1-27 (2025)

Témata: Multi-objective optimization, Individual modification, Encoding strategy, Evolutionary algorithm, Science, Medicine, Article, Maritime inventory routing problem

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40246892
https://doaj.org/article/758a2e7eb0b34c52b20a99f1ac6fdadd

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

Autoři: Yong Yin Kan Fang Feng Liu a další

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

Témata: 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

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

Dynamic Multi-Objective Evolutionary Algorithms: An Overview

Autoři: Elaine Guerrero-Peña Aluízio Araújo Cícero Garrozi

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

Dynamic multi-objective evolutionary optimization algorithm based on two-stage prediction strategy

Autoři: Zeyin Guo Lixin Wei Rui Fan a další

Zdroj: ISA Transactions. 139:308-321

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37055264

Strategic decision-making for sustainable production and distribution in automotive industry: a machine learning enabled dynamic multi-objective optimisation.

Autoři: Sarkar, Puja Khanapuri, Vivekanand B. Tiwari, Manoj Kumar

Zdroj: International Journal of Production Research. Apr2025, Vol. 63 Issue 7, p2339-2362. 24p.

Témata: *DYNAMIC capabilities, *AUTOMOBILE industry, *DISTRIBUTION planning, SUSTAINABILITY, EVOLUTIONARY algorithms, EVOLUTIONARY computation

A Multi-Objective Evolutionary Approach to Discover Explainability Tradeoffs when Using Linear Regression to Effectively Model the Dynamic Thermal Behaviour of Electrical Machines

Autoři: Tiwonge Msulira Banda Alexandru-Ciprian Zăvoianu Andrei Petrovski a další

Zdroj: ACM Transactions on Evolutionary Learning and Optimization. 4:1-16

Témata: Problem formalisation, Cost, Electrical machines, Data-driven models, Optimization algorithms, Linear regression, Explainability, Evolutionary algorithms, Accuracy, Computing methodologies, Theory of computation

Přístupová URL adresa: https://rgu-repository.worktribe.com/output/2086616

Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization

Autoři: Reijnen, Robbert Wu, Yaoxin Bukhsh, Zaharah a další

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2505.16471

ParetoTracker: Understanding Population Dynamics in Multi-objective Evolutionary Algorithms through Visual Analytics

Autoři: Zhang, Zherui Yang, Fan Cheng, Ran a další

Témata: Computer Science - Neural and Evolutionary Computing, Computer Science - Human-Computer Interaction, text

URL: http://arxiv.org/abs/2408.04539

Multi-Objective Evolutionary Algorithms with Sliding Window Selection for the Dynamic Chance-Constrained Knapsack Problem

Autoři: Perera, Kokila Kasuni Neumann, Aneta

Témata: Computer Science - Neural and Evolutionary Computing, text

URL: http://arxiv.org/abs/2404.08219

An Evolutionary Algorithm for Multi-Objective Workflow Scheduling with Adaptive Dynamic Grouping.

Autoři: Zhang, Guochen Zhang, Aolong Sun, Chaoli a další

Zdroj: Electronics (2079-9292); Jul2025, Vol. 14 Issue 13, p2586, 17p

Témata: MULTI-objective optimization, CLOUD computing, RESOURCE allocation, ALGORITHMS, RESOURCE management, MATHEMATICAL optimization, EVOLUTIONARY algorithms

An Adaptive Constrained Multi-Objective Evolutionary Algorithm Based on Co-Evolutionary

Autoři: HAN Meihui, WANG Peng, LI Ruixu, LIU Zhongyao

Zdroj: Jisuanji gongcheng, Vol 50, Iss 6, Pp 124-137 (2024)

Témata: co-evolutionary algorithm, constrained multi-objective optimization(cmop), dual reproduction, dynamic fitness distribution function, infeasible solutions, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Popis souboru: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20240611.pdf; https://doaj.org/toc/1000-3428

Přístupová URL adresa: https://doaj.org/article/e4df8d87ce97487ab10b27f2cdb09175

Search Trajectory Network-Enhanced Multi-Objective Dynamic Algorithm Configuration

Autoři: Reijnen, Robbert Bukhsh, Zaharah Lau, Hoong Chuin a další

Zdroj: ECAI 2025. 413

Leveraging genetic algorithms and system dynamics for effective multi-objective policy optimization: a case study on the broadcasting industry.

Autoři: Sohrabinejad, Azadeh Hafshejani, Kiamars Fathi Sobhani, Farzad Movahedi

Zdroj: Simulation. Apr2025, Vol. 101 Issue 4, p453-476. 24p.

Témata: *MULTI-objective optimization, *MULTIPLE criteria decision making, *EVOLUTIONARY algorithms, *GENETIC algorithms, *SOCIOTECHNICAL systems