Search Results - "Dynamic multi-objective optimization algorithms"

Improved Population Prediction Strategy for Dynamic Multi-Objective Optimization Algorithms Using Transfer Learning

Authors: Handing Wang Zhening Liu

Source: 2021 IEEE Congress on Evolutionary Computation (CEC). :103-110

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

Effects of Decision Models on Dynamic Multi-objective Optimization Algorithms for Financial Markets

Authors: Mardé Helbig Frederick Ditliac Atiah

Source: 2019 IEEE Congress on Evolutionary Computation (CEC). :762-770

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

Access URL: https://dblp.uni-trier.de/db/conf/cec/cec2019.html#AtiahH19
https://doi.org/10.1109/CEC.2019.8790275
https://research-repository.griffith.edu.au/handle/10072/401552
https://ieeexplore.ieee.org/document/8790275/

Using Diversity as an Additional-objective in Dynamic Multi-objective Optimization Algorithms

Authors: Xi Chen Hao Chen Li Ming

Source: 2009 Second International Symposium on Electronic Commerce and Security. :484-487

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005209708

Using Diversity as an Additional-objective in Dynamic Multi-objective Optimization Algorithms.

Authors: Hao Chen Ming Li Xi Chen

Source: 2009 Second International Symposium on Electronic Commerce & Security; 2009, p484-487, 4p

基于半监督迁移学习的动态多目标进化算法. (Chinese)

Alternate Title: A semi-supervised transfer learning based dynamic multi-objective evolutionary algorithm for dynamic multi-objective optimization. (English)

Authors: 刘阚蓉 李 岩 谭树彬 et al.

Source: Control Theory & Applications / Kongzhi Lilun Yu Yinyong; Jan2025, Vol. 42 Issue 1, p1-12, 12p

Subject Terms: MULTI-objective optimization, OPTIMIZATION algorithms, PARETO optimum, PREDICTION models, KNOWLEDGE transfer, EVOLUTIONARY algorithms

An efficient spread-based evolutionary algorithm for solving dynamic multi-objective optimization problems.

Authors: Falahiazar, Alireza Sharifi, Arash Seydi, Vahid

Source: Journal of Combinatorial Optimization; Aug2022, Vol. 44 Issue 1, p794-849, 56p

Spatiotemporal Collaborative Dynamic Optimization Algorithm.

Authors: Er-Chao Li Chen-Miao Liu

Source: Engineering Letters. Jun2025, Vol. 33 Issue 6, p1971-1982. 12p.

Subject Terms: *OPTIMIZATION algorithms, *MULTI-objective optimization, *WASTEWATER treatment, *PROBLEM solving, *RESEARCH personnel, *DISSOLVED oxygen in water

Decision-Maker's Preference-Driven Dynamic Multi-Objective Optimization.

Authors: Adekoya, Adekunle Rotimi Helbig, Mardé

Source: Algorithms; Nov2023, Vol. 16 Issue 11, p504, 26p

Subject Terms: OPTIMIZATION algorithms, DIFFERENTIAL evolution, PERFORMANCE standards, PROBLEM solving

A novel population robustness-based switching response framework for solving dynamic multi-objective problems.

Authors: Li, Han Fang, Zheng Hu, Liwei et al.

Source: Neurocomputing. May2024, Vol. 583, pN.PAG-N.PAG. 1p.

Subject Terms: *OPTIMIZATION algorithms, *KNOWLEDGE transfer, *ALGORITHMS

Transfer Learning Based on Clustering Difference for Dynamic Multi-Objective Optimization.

Authors: Yao, Fangpei Wang, Gai-Ge

Source: Applied Sciences (2076-3417); Apr2023, Vol. 13 Issue 8, p4795, 23p

Subject Terms: OPTIMIZATION algorithms, PARETO optimum, TECHNOLOGY transfer

A dynamic multi-objective evolutionary algorithm based on prediction.

Authors: Fei Wu Jiacheng Chen Wanliang Wang

Source: Journal of Computational Design & Engineering; Feb2023, Vol. 10 Issue 1, p1-15, 15p

Population-based metaheuristics for continuous boundary-constrained dynamic multi-objective optimisation problems.

Authors: Helbig, Mardé Engelbrecht, Andries P.

Source: Swarm & Evolutionary Computation. Feb2014, Vol. 14, p31-47. 17p.

Subject Terms: Metaheuristic algorithms, Combinatorial optimization, Constraint satisfaction, Problem solving, Algorithms

Time series prediction with transformer neural network optimized by IFE and hunger-driven DMOA.

Authors: Zheng, Shixing Ma, Suyang Jin, Xu

Source: Cluster Computing; Oct2025, Vol. 28 Issue 9, p1-32, 32p

Subject Terms: STOCK price forecasting, TRANSFORMER models, OPTIMIZATION algorithms, TREND analysis, MATHEMATICAL optimization

Knowledge Reconstruction for Dynamic Multi-objective Particle Swarm Optimization Using Fuzzy Neural Network.

Authors: Han, Honggui Liu, Yucheng Zhang, Linlin et al.

Source: International Journal of Fuzzy Systems. Jul2023, Vol. 25 Issue 5, p1853-1868. 16p.

Subject Terms: Fuzzy neural networks, Particle swarm optimization, Optimization algorithms, Pareto optimum, Knowledge transfer

Dynamic multi-objective optimization using historical evolutionary learning with global alignment local descriptor matching and collaborative guidance.

Authors: Guan, Kaiquan Ouyang, Haibin Li, Steven et al.

Source: Expert Systems with Applications. Jan2026:Part A, Vol. 296, pN.PAG-N.PAG. 1p.

Subject Terms: *MULTI-objective optimization, *OPTIMIZATION algorithms, *MATHEMATICAL optimization

Dynamic Multi-Objective Gannet Optimization (DMGO): An Adaptive Algorithm for Efficient Data Replication in Cloud Systems.

Authors: William, P. Mishra, Ved Prakash Khalaf, Osamah Ibrahim et al.

Source: Computers, Materials & Continua; 2025, Vol. 84 Issue 3, p5133-5156, 24p

Subject Terms: DATA replication, MULTI-objective optimization, ENERGY consumption, COMPUTER performance, NETWORK performance, RESOURCE allocation, CLOUD computing

A priori injection strategy for dynamic multi-objective optimization via dynamic routing evolution method Open Access.

Authors: Wu, Fei Chen, Jiacheng Wang, Wanliang et al.

Source: Journal of Computational Design & Engineering; Sep2025, Vol. 12 Issue 9, p101-115, 15p

A Mathematical Method for Optimized Decision-Making and Performance Improvement Through Training and Employee Reallocation Under Resistance to Change.

Authors: Panagiotopoulos, Fotios Chatzis, Vassilios

Source: Mathematics (2227-7390); Aug2025, Vol. 13 Issue 16, p2619, 26p

Subject Terms: RESISTANCE to change, JOB performance, RESOURCE management, DECISION making, ORGANIZATIONAL change, COST control, PRODUCTIVITY accounting, MATHEMATICAL optimization

A key-point-based hybrid prediction dynamic multi-objective evolutionary algorithm.

Authors: Yang, Yanxiang Yang, Yongkuan

Source: Evolutionary Intelligence; Aug2025, Vol. 18 Issue 4, p1-20, 20p

Research on Dynamic Particle Swarm Optimization for Multi-Objective Reconnaissance Task Allocation of UAVs.

Authors: Wang, Suyu Qiao, Peihong Yue, Quan et al.

Source: Drones (2504-446X); Aug2025, Vol. 9 Issue 8, p556, 33p