Suchergebnisse - "multi-objective optimization evolutionary algorithm based on decomposition"

Quantum-inspired multi-objective optimization evolutionary algorithm based on decomposition

Autoren: Licheng Jiao Yang Wang Yangyang Li

Quelle: Soft Computing. 20:3257-3272

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

Zugangs-URL: http://dblp.uni-trier.de/db/journals/soco/soco20.html#WangLJ16
https://link.springer.com/article/10.1007/s00500-015-1702-9
https://dblp.uni-trier.de/db/journals/soco/soco20.html#WangLJ16

A Convolutional Neural Network-Based Surrogate Model for Multi-objective Optimization Evolutionary Algorithm Based on Decomposition

Autoren: Tao Zhang Fuzhang Li Xin Zhao et al.

Quelle: Swarm and Evolutionary Computation. 72:101081

Schlagwörter: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Efficiency multi-agent model assisted Moea/D algorithm for optimization design for building taking into account annual energy consumption and annual user discomfort hours

Autoren: Hua Deng Kai Zhou

Quelle: Archives of Civil Engineering, Vol vol. 70, Iss No 4 (2024)

Schlagwörter: multi-agent model, multi-objective optimization evolutionary algorithm based on decomposition, energy efficiency, annual energy consumption, annual user discomfort hours, Engineering (General). Civil engineering (General), TA1-2040

Dateibeschreibung: electronic resource

Relation: https://journals.pan.pl/Content/133481/29_2k.pdf; https://doaj.org/toc/1230-2945

Zugangs-URL: https://doaj.org/article/c042e39a2952401eb1fc65ab5c2c39b9

A Convolutional Neural Network-Based Surrogate Model for Multi-objective Optimization Evolutionary Algorithm Based on Decomposition.

Autoren: Zhang, Tao Li, Fuzhang Zhao, Xin et al.

Quelle: Swarm & Evolutionary Computation. Jul2022, Vol. 72, pN.PAG-N.PAG. 1p.

Schlagwörter: Evolutionary algorithms, Mathematical optimization, Convolutional neural networks

Quantum-inspired multi-objective optimization evolutionary algorithm based on decomposition.

Autoren: Wang, Yang Li, Yangyang Jiao, Licheng

Quelle: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Aug2016, Vol. 20 Issue 8, p3257-3272, 16p

Schlagwörter: MULTIDISCIPLINARY design optimization, EVOLUTIONARY algorithms, QUANTUM computing, MATHEMATICAL optimization, DECOMPOSITION method

A multi‐objective interval optimization approach to expansion planning of active distribution system with distributed internet data centers and renewable energy resources.

Autoren: Zhang, Yuying Liang, Chen Wang, Han et al.

Quelle: IET Generation, Transmission & Distribution (Wiley-Blackwell); Sep2024, Vol. 18 Issue 18, p2999-3016, 18p

Schlagwörter: RENEWABLE energy sources, EVOLUTIONARY algorithms, ROBUST optimization, ELECTRICAL load, HIGH technology industries, SERVER farms (Computer network management)

基于贝叶斯最大熵分析的高维多目标优化方法. (Chinese)

Alternate Title: Many-objective optimization method based on Bayesian maximum entropy analysis. (English)

Autoren: 陈帅杰 李文锋 贺利军 et al.

Quelle: Control Theory & Applications / Kongzhi Lilun Yu Yinyong; Aug2025, Vol. 42 Issue 8, p1669-1680, 12p

Schlagwörter: MULTI-objective optimization, MAXIMUM entropy method, MATHEMATICAL optimization, HETEROGENEITY, EVOLUTIONARY algorithms

Quantum-Inspired Multi-Objective Seahorse Optimizer for Predictive Maintenance Analysis Using Numerical Association Rule Mining.

Autoren: Yacoubi, Salma Manita, Ghaith Chhabra, Amit et al.

Quelle: Cognitive Computation; Aug2025, Vol. 17 Issue 4, p1-45, 45p

A gradient-descent-like learning-based framework in surrogate-assisted evolutionary algorithms for expensive many-objective optimization.

Autoren: Sun, Chaoyi Zhang, Bo Sun, Hai et al.

Quelle: Complex & Intelligent Systems; Aug2025, Vol. 11 Issue 8, p1-28, 28p

Optimization of Mining Sequence for Ion-Adsorbed Rare Earth Mining Districts Incorporating Environmental Costs.

Autoren: Yi, Lu Zeng, Yi Zheng, Minggui

Quelle: Sustainability (2071-1050); Aug2025, Vol. 17 Issue 15, p6871, 19p

Multi-objective optimization design for accelerated degradation test based on game theory.

Autoren: Guo, Jinyan Han, Zhiwu Wu, Shuangfeng et al.

Quelle: Scientific Reports; 4/27/2025, Vol. 15 Issue 1, p1-20, 20p

Schlagwörter: MULTI-objective optimization, GAME theory, COMPUTATIONAL mathematics, MATHEMATICAL optimization, BUDGET, ACCELERATED life testing

Multi-objective Node Placement Considering Non-uniform Event Pattern.

Autoren: Mohtashami, Hossein Movaghar, Ali Teshnehlab, Mohammad

Quelle: Wireless Personal Communications; Dec2017, Vol. 97 Issue 4, p6189-6220, 32p

Schlagwörter: WIRELESS sensor networks, WIRELESS sensor nodes, EVOLUTIONARY algorithms, SYSTEMS on a chip, ENERGY consumption

Synergetic renewable generation allocation and 5G base station placement for decarbonizing development of power distribution system: A multi-objective interval evolutionary optimization approach.

Autoren: Zeng, Bo Zhang, Weixiang Hu, Pinduan et al.

Quelle: Applied Energy. Dec2023, Vol. 351, pN.PAG-N.PAG. 1p.

Schlagwörter: *CARBON dioxide mitigation, *5G networks, *EVOLUTIONARY algorithms, *CARBON emissions, *STORAGE batteries

Equity-Oriented Multi-Objective Optimization Allocation Strategies for Urban Water Resources.

Autoren: Zhou, Shicheng Wang, Dong Liu, Zhen et al.

Quelle: Water (20734441); Feb2025, Vol. 17 Issue 4, p557, 25p

Schlagwörter: WATER management, MULTI-objective optimization, MUNICIPAL water supply, WATER resources development, STANDARD of living

An orthogonal predictive model-based dynamic multi-objective optimization algorithm.

Autoren: Liu, Ruochen Niu, Xu Fan, Jing et al.

Quelle: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Nov2015, Vol. 19 Issue 11, p3083-3107, 25p

Schlagwörter: EVOLUTIONARY algorithms, MULTIPLE criteria decision making, MATHEMATICAL optimization, MATHEMATICAL decomposition, CHEBYSHEV systems, VECTOR analysis

A Review of Multi-Satellite Imaging Mission Planning Based on Surrogate Model Expensive Multi-Objective Evolutionary Algorithms: The Latest Developments and Future Trends.

Autoren: Yang, Xueying Hu, Min Huang, Gang et al.

Quelle: Aerospace (MDPI Publishing); Oct2024, Vol. 11 Issue 10, p793, 34p

Schlagwörter: OPTIMIZATION algorithms, ALGORITHMS, CLASSIFICATION, COST

Data-driven Strategies for Affordable Housing: A Hybrid Genetic Algorithm-Machine Learning Optimization Model in the Melbourne Metropolitan Area.

Autoren: Jafary, Peyman Shojaei, Davood Pishgahi, Sara et al.

Quelle: ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences; 2024, Vol. 10 Issue 4, p175-182, 8p

Schlagwörter: AFFORDABLE housing, ECONOMIC forecasting, RENTAL housing, BUILDING design & construction, ECOLOGICAL houses

Optimal scheduling and demand response implementation for home energy management.

Autoren: Priolkar, Jayesh Sreeraj, E. S.

Quelle: International Journal of Electrical & Computer Engineering (2088-8708); Apr2024, Vol. 14 Issue 2, p1352-1368, 17p

Schlagwörter: OPTIMIZATION algorithms, PARTICLE swarm optimization, MICROGRIDS, ENERGY management, SCHEDULING, MATHEMATICAL optimization

Uncertain optimization for initial disturbance of projectile for moving tank based on stochastic programming and deep learning surrogate model.

Autoren: Li, Cong Yang, Guolai Wang, Xiuye et al.

Quelle: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science (Sage Publications, Ltd.); Mar2024, Vol. 238 Issue 6, p1898-1910, 13p

Evaluation method for psychological resilience of athletes in high-intensity sports training based on evolutionary neural network.

Autoren: Kaijun, Zhao

Quelle: Journal of Intelligent & Fuzzy Systems; 2024, Vol. 46 Issue 1, p723-737, 15p

Schlagwörter: PSYCHOLOGICAL resilience, PSYCHOLOGICAL techniques, PHYSICAL training & conditioning, HIGH-intensity interval training, EVALUATION methodology