Suchergebnisse - Multi-objective optimization algorithms

The Two-Archive Multi-Objective Grey Wolf Optimization Algorithm for Truss Structures

Autoren: Tejani, Ghanshyam G. Sharma, Sunil Kumar Seyed Jalaleddin, Mousavirad et al.

Quelle: International Journal of Computational Intelligence Systems. 18(1)

Schlagwörter: Truss, Multi-objective optimization, GWO, Two-archives, Metaheuristic

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-55772
https://doi.org/10.1007/s44196-025-00972-8

Multi-Objective Low-carbon Optimization of UHVDC System Based on AP-NSGA-II Algorithm

Autoren: Luo Lei Yang Jun Tan Bingyuan et al.

Quelle: Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering). 18:1226-1236

A multi-objective African vultures optimization algorithm with binary hierarchical structure and tree topology for big data optimization

Autoren: Bo Liu Yongquan Zhou Yuanfei Wei et al.

Quelle: J Adv Res

Schlagwörter: Original Manuscript

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39312999

Back analysis of rock mass parameters in mechanized twin tunnels based on coupled auto machine learning and multi-objective optimization algorithm

Autoren: Chengwen Wang Xiaoli Liu Jiubao Li et al.

Quelle: Journal of Rock Mechanics and Geotechnical Engineering, Vol 17, Iss 11, Pp 7038-7055 (2025)

Schlagwörter: Back analysis of rock parameters, Auto machine learning, Multi-objective optimization algorithm, Mechanized twin tunnels, Parametric modeling, Engineering geology. Rock mechanics. Soil mechanics. Underground construction, TA703-712

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1674775525000939; https://doaj.org/toc/1674-7755

Zugangs-URL: https://doaj.org/article/55a3a193ffac4b6eb221249f15e0c806

A Hybrid Optimization Algorithm for a Multi-Objective Aircraft Loading Problem With Complex Constraints

Autoren: Boliang Zhang Yu Yao H. Y. Kan et al.

Quelle: IEEE Access, Vol 13, Pp 47617-47631 (2025)

Schlagwörter: Multi-objective optimization, aviation transportation, aircraft loading, Electrical engineering. Electronics. Nuclear engineering, adaptive parameter tuning, convergence speed, TK1-9971

Zugangs-URL: https://doaj.org/article/09abb1b2c93d4ac798a43f7300622c86

Advancing Sustainable Energy Solutions: AI Hybrid Renewable Energy Systems With Hybrid Optimization Algorithms And Multi-Objective Optimization In Portugal

Autoren: Mendonça, Maria Mendes Santos, Vítor Manuel Pereira Duarte dos RUN

Weitere Verfasser: Mendonça, Maria Mendes Santos, Vítor Manuel Pereira Duarte dos RUN

Schlagwörter: Data Science, Artificial Intelligence, Hybrid Renewable Energy Systems, Multi-objective optimization, SDG 11 - Sustainable cities and communities, SDG 13 - Climate action, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

Dateibeschreibung: application/pdf

Verfügbarkeit: http://hdl.handle.net/10362/175121

Multi-Objective Optimization Algorithms for Generative Design: Performance Evaluation in Custom Dental Abutment Design

Autoren: Petar Kosec Jonny Binder Tomislav Martinec et al.

Quelle: CAD'25.

Schlagwörter: generative design, parametric design, NSGA-III, MOEA/D, multi-objective optimization algorithms, RBFMOpt

Application of Multi-Objective Optimization Algorithms in Urban Infrastructure

Autoren: Liwei Zhang Mingjia Feng

Quelle: 2025 3rd International Conference on Data Science and Network Security (ICDSNS). :1-5

Investigating the Spreadability of Problems in Evolutionary Multi-objective Optimization Algorithms

Autoren: Weifeng Guan Fangqing Gu Yingxuan Liang et al.

Quelle: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :359-362

Benchmarking single- and multi-objective optimization algorithms: how to make your experimental data more valuable

Autoren: Carola Doerr Diederick Vermetten Jacob de Nobel et al.

Quelle: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :1396-1407

A leaded sine–cosine artificial protozoa optimizer algorithm for solving multi-objective optimization problems.

Autoren: Liao, Junjie Melethil Sethumadhavan, Syam Ke, Rui et al.

Quelle: Cluster Computing. Oct2025, Vol. 28 Issue 5, p1-65. 65p.

Schlagwörter: *OPTIMIZATION algorithms, *MULTI-objective optimization, *COMPUTATIONAL mathematics, *APPLIED mathematics, *PARETO optimum, *BEES algorithm

Towards Benchmarking Multi-Objective Optimization Algorithms Based on the Basin Connectivity

Autoren: Ryosuke Ota Likun Liu Naoki Hamada et al.

Quelle: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :2294-2300

A multi-population evolutionary algorithm integrating special selection methods and refraction-based grey wolf optimization for multi-objective problems.

Autoren: Wang, Zilong Shao, Peng Zhang, Shaoping

Quelle: Cluster Computing. 2025, Vol. 28 Issue 11, p1-29. 29p.

Schlagwörter: *MULTI-objective optimization, *EVOLUTIONARY algorithms, *MATHEMATICAL optimization, *GREY Wolf Optimizer algorithm, *OPTIMIZATION algorithms

A stricter constraint dominance principle based algorithm for enhancing multi-performance in constrained multi-objective optimization.

Autoren: Yu, Fan Chen, Qun Li, Yange et al.

Quelle: Journal of the Operational Research Society. Dec2025, Vol. 76 Issue 12, p2507-2531. 25p.

Schlagwörter: *MATHEMATICAL optimization, *FEASIBILITY studies, MULTI-objective optimization, OPTIMIZATION algorithms, CONSTRAINT programming, HETEROGENEITY

P‐1.28: GOA‐AI:Designing the Size of Gate Driver on Array Circuits Using NSGA‐III(II) multi‐objective optimization algorithm framework Combined with Bayesian Optimization

Autoren: Yanling Chen Zhenbang Hu Xiaoliang Zhou et al.

Quelle: SID Symposium Digest of Technical Papers. 56:792-796

Large‐Scale Multi‐Objective Optimization Algorithms: A Decade Survey.

Autoren: Wang, Pengtao Wu, Xiangjuan Deng, Hanqing

Quelle: Expert Systems. Dec2025, Vol. 42 Issue 12, p1-18. 18p.

Schlagwörter: *MULTI-objective optimization, *EVOLUTIONARY algorithms, *COMPUTER vision, *DIMENSIONAL reduction algorithms, *MATHEMATICAL optimization, *MATHEMATICAL programming, *ALGORITHMS

Multi-Objective Optimization For Employee Carpooling Using The IMGAMO Algorithm And Baldwin Effect

Autoren: Jarosz Pawel Marszalek Adam

Quelle: ECMS 2025 Proceedings edited by Marco Scarpa, Salvatore Cavalieri, Salvatore Serrano, Fabrizio De Vita. :462-468

Evolutionary Multi-Objective Optimization for Maritime Tourism Resource Allocation: A Maritime Tourism Case Study Comparing Custom GA and NSGA-II Implementations

Autoren: Quintas, José Miguel Rodrigues Vanneschi, Leonardo RUN

Weitere Verfasser: Quintas, José Miguel Rodrigues Vanneschi, Leonardo RUN

Schlagwörter: maritime tourism, resource allocation, genetic algorithms, NSGA-II, multi-objective optimization, single-objective optimization, evolutionary algorithms, metaheuristics, combinatorial optimization, constraint satisfaction, multi-skilled resource-constrained project scheduling, Design Science Research Methodology, comparative analysis, statistical validation, operations research, scheduling optimization, Pareto optimization, weighted sum aggregation, domain-specific genetic operators, constraint handling, tour planning, guide assignment, vessel allocation, skipper scheduling, tourism operations, service optimization, operational efficiency, revenue optimization, real-world optimization, empirical evaluation, performance comparison, computational efficiency, solution quality, feasibility analysis, crowding distance, diversity maintenance, population-based optimization, stochastic optimization, optimization algorithms, resource utilization, capacity constraints, language compatibility, multilingual services, operational research, applied optimization, algorithmic comparison, strategic planning, emergency response, decision support systems, SDG 8 - Decent work and economic growth, SDG 9 - Industry, innovation and infrastructure, SDG 12 - Responsible production and consumption, SDG 14 - Life below water, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

Dateibeschreibung: application/pdf

Verfügbarkeit: http://hdl.handle.net/10362/190414

Research on identifying key measurement points and improvement of thermal error prediction accuracy for grinding motorized spindles based on multi-objective optimization and intelligent algorithms.

Autoren: Wu, Quanhui Lv, Jiawei Pan, BaiSong et al.

Quelle: Journal of Mechanical Science & Technology. Oct2025, Vol. 39 Issue 10, p6037-6049. 13p.

Schlagwörter: *MULTI-objective optimization, *SPINDLES (Machine tools), *ALGORITHMS, *STATISTICAL models, *METAHEURISTIC algorithms, *MEASUREMENT uncertainty (Statistics), *SUPPORT vector machines, *PRINCIPAL components analysis

Advanced optimization of a two-degree-of-freedom PID controller for air pressure monitoring sensor using a multi-objective genetic algorithm

Autoren: null Adunola Fatai Olatunde null Anuoluwapo Emmanuel Dada null Joshua Sokowonci Mommoh et al.

Quelle: Global Journal of Engineering and Technology Advances. 23:045-076