Suchergebnisse - "Multi-Objective Evolutionary Algorithm"

An Improved Multi-Objective Evolutionary Algorithm for Grid Map Path Planning

Autoren: DONG Dejin, WANG Changcheng, CAI Yunze

Quelle: Shanghai Jiaotong Daxue xuebao, Vol 59, Iss 10, Pp 1558-1567 (2025)

Schlagwörter: grid map, multi-objective path planning, multi-objective evolutionary algorithm, pareto front (pf), Engineering (General). Civil engineering (General), TA1-2040, Chemical engineering, TP155-156, Naval architecture. Shipbuilding. Marine engineering, VM1-989

Dateibeschreibung: electronic resource

Relation: https://xuebao.sjtu.edu.cn/article/2025/1006-2467/1006-2467-59-10-1558.shtml; https://doaj.org/toc/1006-2467

Zugangs-URL: https://doaj.org/article/7c928b53b401476c9c59f5b2a4355ac3

A multi-objective optimization framework based on information sharing for serially connected robot design

Autoren: Jiliang Zhao Wei Peng Handing Wang et al.

Quelle: Complex & Intelligent Systems, Vol 11, Iss 9, Pp 1-12 (2025)

Schlagwörter: Multi-objective evolutionary algorithm, Serially connected robot design, Control optimization, Reinforcement learning, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2199-4536; https://doaj.org/toc/2198-6053

Zugangs-URL: https://doaj.org/article/fc01fdaad87643789df724e60d784d92

Low-Latency Communication with Drone-Assisted 5G Networks

Autoren: Hamid Alshareefi Adil Abbas Majeed Ertegin Baigashkaev et al.

Quelle: Iranian Journal of Information Processing & Management, Vol 40, Iss ویژه نامه انگلیسی 4, Pp 765-796 (2025)

Schlagwörter: uavs, 5g networks, latency reduction, energy efficiency, signal-to-interference-plus-noise ratio (sinr), optimization algorithms, particle swarm optimization (pso), genetic algorithm (ga), the multi-objective evolutionary algorithm (moea), task scheduling, Bibliography. Library science. Information resources

Dateibeschreibung: electronic resource

Relation: https://jipm.irandoc.ac.ir/article_728318_0898844e1cd0eb6977a588560992e7d1.pdf; https://doaj.org/toc/2251-8223; https://doaj.org/toc/2251-8231

Zugangs-URL: https://doaj.org/article/f296bfd5358649878a3f97c8d1a002a2

Optimizing Reservoir Operations to Mitigate Nutrient and Phytoplankton Exports From a Eutrophic Lake

Autoren: Osama M. Tarabih Mauricio E. Arias Hung Q. Nguyen et al.

Quelle: Water Resources Research, Vol 61, Iss 7, Pp n/a-n/a (2025)

Schlagwörter: harmful algal blooms, Environmental sciences, multi‐objective evolutionary algorithm, Lake Okeechobee, GE1-350, phosphorus, nitrogen

Zugangs-URL: https://doaj.org/article/152dee25981047d1b4b1364ba6837c47

Bi-Level Collaborative Optimization for Medical Consumable Order Splitting and Reorganization Considering Multi-Dimensional and Multi-Scale Characteristics

Autoren: Peng Jiang Shunsheng Guo Xu Luo

Quelle: Applied Sciences, Vol 15, Iss 14, p 7627 (2025)

Schlagwörter: Technology, QH301-705.5, Physics, QC1-999, medical consumable, Engineering (General). Civil engineering (General), Chemistry, multi-objective evolutionary algorithm, bi-level collaborative optimization, collaborative iterative strategy, TA1-2040, Biology (General), QD1-999

Zugangs-URL: https://doaj.org/article/fbef328446594eeeacf206da2f708f64

Multi-Objective Evolutionary Hindsight Experience Replay for Robot Manipulation Tasks

Autoren: Erdi Sayar Giovanni Iacca Alois Knoll

Quelle: Proceedings of the Genetic and Evolutionary Computation Conference. :403-411

Schlagwörter: curriculum learning, hindsight experience replay, multi-objective evolutionary algorithm, reinforcement learning, robot manipulation

Dateibeschreibung: application/pdf

Automatic Optimization of Guidance Guardrail Layout Based on Multi-Objective Evolutionary Algorithm

Autoren: Wei-Li Liu Yixin Chen Xiang Li et al.

Quelle: Complex System Modeling and Simulation, Vol 4, Iss 4, Pp 353-367 (2024)

Schlagwörter: crowd simulation, TA168, Electronic computers. Computer science, multi-objective evolutionary algorithm, QA75.5-76.95, automatical guardrail layout optimization, Systems engineering

Zugangs-URL: https://doaj.org/article/bd74497630a6477fbf057eb86d3849cb

A Novel Multi-Objective Hybrid Evolutionary-Based Approach for Tuning Machine Learning Models in Short-Term Power Consumption Forecasting

Autoren: Aleksei Vakhnin Ivan Ryzhikov Harri Niska et al.

Quelle: AI, Vol 5, Iss 4, Pp 2461-2496 (2024)

Schlagwörter: hybrid evolutionary algorithm, Electronic computers. Computer science, multi-objective evolutionary algorithm, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, forecasting, power consumption, QA75.5-76.95, 02 engineering and technology

Zugangs-URL: https://doaj.org/article/2b040395d9f5452dac4e17f42d5063cd

Optimization of unmanned truck fleet scheduling in open-pit mines considering sudden equipment failures

Autoren: GU Qinghua WANG Xueqing WANG Dan et al.

Quelle: 矿业科学学报, Vol 10, Iss 2, Pp 305-315 (2025)

Schlagwörter: sudden equipment failure, multi-objective evolutionary algorithm, surface coal mine, rescheduling, Engineering geology. Rock mechanics. Soil mechanics. Underground construction, TA703-712, Mining engineering. Metallurgy, TN1-997

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2096-2193

Zugangs-URL: https://doaj.org/article/736100708c0e40f5a783e1fce56bbfb5

An exploration-enhanced hybrid algorithm based on regularity evolution for multi-objective multi-UAV 3-D path planning

Autoren: Zhenzu Bai Haiyin Zhou Juhui Wei et al.

Quelle: Complex & Intelligent Systems, Vol 11, Iss 5, Pp 1-20 (2025)

Schlagwörter: Path planning, Regularity evolution, Constrained multi-objective evolutionary algorithm, Constrained multi-objective problems, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2199-4536; https://doaj.org/toc/2198-6053

Zugangs-URL: https://doaj.org/article/ba6811335acb402dbe4bd5fa0b969059

Optimizing the integration of renewable energy sources, energy efficiency, and flexibility solutions in a multi-network pharmaceutical industry

Autoren: Francesco Ghionda Alessandro Sartori Zijie Liu et al.

Weitere Verfasser: Francesco Ghionda Alessandro Sartori Zijie Liu et al.

Quelle: International Journal of Sustainable Energy Planning and Management, Vol 41 (2024)

Schlagwörter: Social sciences (General), H1-99, 13. Climate action, 11. Sustainability, Energy efficiency, Energy system integration, Flexibility, Multi-objective evolutionary algorithm, Pharmaceutical industry, TA1-2040, Engineering (General). Civil engineering (General), 7. Clean energy, 12. Responsible consumption

Zugangs-URL: https://doaj.org/article/2f8d35f9eb16419a852837fcb5af33cc

A semi-supervised learning technique assisted multi-objective evolutionary algorithm for computationally expensive problems

Autoren: Zijian Jiang Chaoli Sun Xiaotong Liu et al.

Quelle: Complex & Intelligent Systems, Vol 11, Iss 2, Pp 1-11 (2025)

Schlagwörter: Expensive multi-objective evolutionary algorithm, Semi-supervised learning, Gaussian process model, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2199-4536; https://doaj.org/toc/2198-6053

Zugangs-URL: https://doaj.org/article/c618c4a505f145129b36fbdd641f7cfe

Decomposition-based Multi-objective Evolutionary Algorithm for Industrial Dynamic Pickup andDelivery Problems

Autoren: CAI Junchuang, ZHU Qingling, LIN Qiuzhen, LI Jianqiang, MING Zhong

Quelle: Jisuanji kexue, Vol 52, Iss 1, Pp 331-344 (2025)

Schlagwörter: dynamic pickup and delivery problem, decomposition method, multi-objective evolutionary algorithm, local search, combinatorial optimization, Computer software, QA76.75-76.765, Technology (General), T1-995

Dateibeschreibung: electronic resource

Relation: https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2025-52-1-331.pdf; https://doaj.org/toc/1002-137X

Zugangs-URL: https://doaj.org/article/dbed6077976648e7b87cfbddf9bc0ae3

A multi-objective evolutionary algorithm with constraint-compliant initialization for energy transport and urban logistics in Electric Vehicle Routing

Autoren: Xie, Yue Chu, Kai-Fung Lam, Albert Y.S. et al.

Weitere Verfasser: Xie, Yue Chu, Kai-Fung Lam, Albert Y.S. et al.

Quelle: Applied Soft Computing

Schlagwörter: Multi-objective evolutionary algorithm, Electric Vehicle Routing, Energy Transport, Sustainable logistics

Dateibeschreibung: application/pdf

Zugangs-URL: https://www.repository.cam.ac.uk/handle/1810/387995
https://doi.org/10.1016/j.asoc.2025.113624

A Multi-Objective Optimization of a District Heating Network: Integrated and Dynamic Decarbonization Solutions for the Case Study of Riva Del Garda (Italy)

Autoren: Amit Jain Diego Viesi Silvia Ricciuti et al.

Quelle: Energies, Vol 18, Iss 23, p 6229 (2025)

Schlagwörter: decarbonization, district heating, EnergyPLAN, multi-objective evolutionary algorithm, waste heat recovery, renewable energy, Technology

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1996-1073/18/23/6229; https://doaj.org/toc/1996-1073

Zugangs-URL: https://doaj.org/article/b40b32b78d354aefa67589440a650fe9

Reinforcement learning for distributed hybrid flowshop scheduling problem with variable task splitting towards mass personalized manufacturing

Autoren: Chen, Xin Li, Yibing Wang, Kaipu et al.

Quelle: Journal of manufacturing systems. 76:188-206

Schlagwörter: Reinforcement learning, Distributed hybrid flowshop scheduling, Mass personalization manufacturing, Variable task splitting, Multi-objective evolutionary algorithm

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-352686

Dynamic Multi-Objective Optimization of Grid-Connected Distributed Resources Along With Battery Energy Storage Management via Improved Bidirectional Coevolutionary Algorithm

Autoren: Asif Ali Zhizhen Liu Aamir Ali et al.

Quelle: IEEE Access, Vol 12, Pp 58972-58992 (2024)

Schlagwörter: Distribution network, distributed generation, 13. Climate action, multi-objective evolutionary algorithm, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, battery energy storage system, 7. Clean energy, TK1-9971

Zugangs-URL: https://doaj.org/article/3cd693f8aea742b8892ab31065198efa

A New Evolutionary Multitasking Algorithm for High-Dimensional Feature Selection

Autoren: Ping Liu Bangxin Xu Wenwen Xu

Quelle: IEEE Access, Vol 12, Pp 89856-89872 (2024)

Schlagwörter: feature selection, high-dimensional data, Evolutionary multitasking, multi-objective evolutionary algorithm, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, knowledge transfer, TK1-9971

Zugangs-URL: https://doaj.org/article/630e819b05064de3b3070ae44a3cc0f5

MOEA with adaptive operator based on reinforcement learning for weapon target assignment

Autoren: Shiqi Zou Xiaoping Shi Shenmin Song

Quelle: Electronic Research Archive, Vol 32, Iss 3, Pp 1498-1532 (2024)

Schlagwörter: reinforcement learning, T57-57.97, Applied mathematics. Quantitative methods, deep q-network, weapon target assignment, multi-objective evolutionary algorithm, QA1-939, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, exploration and exploration, 02 engineering and technology, Mathematics

Zugangs-URL: https://doaj.org/article/b9e0ca103b8c4e3e99683020dbdea94f

Optimization of an Air Pressure System: A Multi-Objective Control and Modeling Approach

Autoren: Víctor Huilcapi Christian Castillo Daniel Sanchez et al.

Quelle: IEEE Access, Vol 12, Pp 96691-96703 (2024)

Schlagwörter: Air pressure systems, multi-objective optimization methodology, nonlinear model, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, level diagram (LD), cascade PI controller, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, multi-objective evolutionary algorithm (ev-MOGA), TK1-9971

Zugangs-URL: https://doaj.org/article/10e028d7ea6b4627802f5554a6e9d207