Search Results - interactive evolution multi-objective optimization algorithm

Dynamic Multi-Objective Optimization Framework With Interactive Evolution for Sequential Recommendation

Authors: Wei Zhou Yong Liu Min Li et al.

Contributors: Wei Zhou Yong Liu Min Li et al.

Source: IEEE Transactions on Emerging Topics in Computational Intelligence. 7:1228-1241

Subject Terms: Multi-Objective Recommendation, 0202 electrical engineering, electronic engineering, information engineering, Computer science and engineering [Engineering], Dynamic Multi-Objective Optimization, 02 engineering and technology, Engineering::Computer science and engineering

Access URL: https://hdl.handle.net/10356/170379

Research on proportion and performance optimization of pure gangue backfilling slurry based on multi-objective differential evolution algorithm

Authors: Chaowei Dong Nan Zhou Giuseppe Andrea Ferro et al.

Source: Construction and Building Materials. 418:135432

Subject Terms: Engineering performance, Multi-objective optimization algorithm, Mixture design, Pure gangue backfilling slurry, Utilization of coal gangue

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Optimal capacity configuration of wind-photovoltaic-storage hybrid systems based on improved chaotic evolution optimization algorithm.

Authors: Dong Y Zhou X Cao X et al.

Source: Scientific reports [Sci Rep] 2026 Feb 20. Date of Electronic Publication: 2026 Feb 20.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

A Review of Research on Multi-Objective Process Parameter Optimization Technology for Grinding Machining.

Authors: Yang, Xiao Deng, Zhaohui Zhu, Decai et al.

Source: Technologies (2227-7080); Jan2026, Vol. 14 Issue 1, p64, 32p

Subject Terms: MULTI-objective optimization, OPTIMIZATION algorithms, INDUSTRIAL productivity, GRINDING machines, ENERGY consumption, MECHANICAL engineering, PRODUCT quality

Research on the Implementation Path of Multi-Objective Optimization Algorithm for English Translation Information Technology Convergence in Big Data.

Authors: Jiao, Wenjing

Source: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127a, p1815-1836, 22p

Subject Terms: BIG data, MULTIPLE criteria decision making, MATHEMATICAL optimization, ENGLISH language, TRANSLATIONS, INFORMATION technology

ICB-MOEA/D: An Interactive Classification-Based Multi-Objective Optimization Algorithm

Authors: Bin Xin Hepeng Li Ling Wang

Source: 2018 37th Chinese Control Conference (CCC). :2500-2505

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

An Improved Multi-Objective Moth Flame Optimization Algorithm Based on r-Domination and Its Application in Parameter Optimization of Multi-Spacecraft Attitude Control.

Authors: Zhao, Xiaodong Fang, Yiming Liu, Le et al.

Source: Symmetry (20738994); Jan2026, Vol. 18 Issue 1, p62, 32p

Subject Terms: MULTI-objective optimization, SPACE vehicle attitude control systems, HETEROGENEITY, MATHEMATICAL programming

An Improved Whale Optimization Algorithm via Angle Penalized Distance for Automatic Train Operation.

Authors: Wang, Longda Ju, Yanjie Guo, Long et al.

Source: Biomimetics (2313-7673); Jun2025, Vol. 10 Issue 6, p384, 34p

Subject Terms: METAHEURISTIC algorithms, MULTI-objective optimization, ENERGY consumption, PUNCTUALITY, RAILROADS

Project Scheduling to Minimize the Time and Cost in Large-Scale Construction Projects with Repulsion-Based Improved Arithmetic Optimization.

Authors: Toğan, Vedat Said Sulub, Abdikarim Azim Eirgash, Mohammad et al.

Source: Journal of Construction Engineering & Management; Mar2026, Vol. 152 Issue 3, p1-19, 19p

Subject Terms: MULTI-objective optimization, CONSTRUCTION projects, TIME management, PRODUCTION scheduling, RESOURCE allocation, COST control, OPTIMIZATION algorithms

Research on intelligent prediction of vibration performance and multi-objective optimization using CGWOA-RBF enhanced neural network and MOCGWOA-based optimization algorithm.

Authors: Zhang, Xuejian Gao, Yunkai Hu, Xiaobing et al.

Source: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science (Sage Publications, Ltd.); Feb2026, Vol. 240 Issue 4, p1021-1044, 24p

Multilabel feature selection using graph neural networks and differential evolution optimization.

Authors: Pan, Ning

Source: Scientific Reports; 12/23/2025, Vol. 15 Issue 1, p1-22, 22p

Subject Terms: GRAPH neural networks, DIFFERENTIAL evolution, FEATURE selection, MACHINE learning, DATA structures, MATHEMATICAL optimization, DIMENSIONAL reduction algorithms

A memorized multi-objective Sinh-Cosh optimizer for solving multi-objective engineering design problems.

Authors: El-Nagar, Doaa Zeidan, Ibrahim Issa, Mohamed

Source: Scientific Reports; 1/21/2026, Vol. 16 Issue 1, p1-40, 40p

Subject Terms: MULTI-objective optimization, ENGINEERING design, MEMORIZATION, HETEROGENEITY, BENCHMARK problems (Computer science), MATHEMATICAL optimization

A fast convergence EO-based multi-objective optimization algorithm using archive evolution path and its application to engineering design problems.

Authors: Ilchi Ghazaan, Majid Ghaderi, Pedram Rezaeizadeh, Amirali

Source: Journal of Supercomputing; Nov2023, Vol. 79 Issue 16, p18849-18885, 37p

Subject Terms: OPTIMIZATION algorithms, ENGINEERING design, MATHEMATICAL optimization, STRUCTURAL design, SPACE trajectories

Quantitative Assessment Model for Technology Transfer Risks in University‐Enterprise Collaborative Innovation: Based on Multi‐Objective Optimization Strategy of Deep Adversarial Reinforcement Learning.

Authors: Wang, Guojun

Source: Engineering Reports; Jan2026, Vol. 8 Issue 1, p1-20, 20p

Subject Terms: TECHNOLOGY transfer, RISK assessment, INNOVATION management, DECISION making, DEEP learning, MULTI-objective optimization, REINFORCEMENT learning, SEMICONDUCTOR manufacturing

A double auxiliary optimization constrained multi-objective evolutionary algorithm.

Authors: Yang, Yongkuan Yan, Bing Kong, Xiangsong et al.

Source: Mathematics & Computers in Simulation. Jun2024, Vol. 220, p567-579. 13p.

Subject Terms: *EVOLUTIONARY algorithms, *CONSTRAINED optimization, *COEVOLUTION

Machinability analysis in wire-EDM of cryogenically treated Ti6Al4V alloy and multi-objective optimization using MOAVOA and MOGA.

Authors: Dikshit, Mithilesh K. Pathak, Vimal Kumar

Source: Scientific Reports; 8/28/2025, Vol. 15 Issue 1, p1-25, 25p

Subject Terms: MACHINING, TITANIUM alloys, OPTIMIZATION algorithms, CRYOGENICS, ELECTRIC metal-cutting, MULTI-objective optimization

Augmenting Interactive Evolution with Multi-objective Optimization

Authors: Joshua R. Christman Brian G. Woolley

Source: 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA). :973-980

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

PARAMETRIC DESIGN OF OFFICE FURNITURE PARTITION SPACE INTEGRATED WITH THE INTERACTIVE EVOLUTION ALGORITHM OF FNT AND TREE STRUCTURE.

Authors: SHIDONG CHEN HUIYUAN GUAN

Source: Scalable Computing: Practice & Experience; Jul2024, Vol. 25 Issue 4, p3062-3073, 12p

Subject Terms: OFFICE furniture, FURNITURE design, WILCOXON signed-rank test, DIFFERENTIAL evolution, MULTICASTING (Computer networks), OFFICE environment, SPACE, ALGORITHMS

A Joint Optimization Model for Device Selection and Power Allocation under Dynamic Uncertain Environments.

Authors: Li, Bohui Wang, Bin Wu, Linjie et al.

Source: Computers, Materials & Continua; 2026, Vol. 86 Issue 2, p1-28, 28p

Subject Terms: MULTI-objective optimization, RESOURCE allocation, FEDERATED learning, INTELLIGENT transportation systems, POWER resources management, RESOURCE management, EDGE computing

CNN-LSTM Assisted Multi-Objective Aerodynamic Optimization Method for Low-Reynolds-Number Micro-UAV Airfoils.

Authors: Peng, Jinzhao Li, Enying Wang, Hu

Source: Aerospace (MDPI Publishing); Jan2026, Vol. 13 Issue 1, p78, 36p

Subject Terms: COMPUTATIONAL fluid dynamics, AEROFOILS, LONG short-term memory, REYNOLDS number, COMPUTATIONAL aerodynamics, MULTI-objective optimization, MICRO air vehicles, SURROGATE-based optimization