Search Results - "Dynamic multi-objective optimization problem"

DPb-MOPSO: A Dynamic Pareto bi-level Multi-objective Particle Swarm Optimization Algorithm by Aboud, Ahlem, Rokbani, Nizar, Fdhila, Raja, Qahtani, Abdulrahman M., Almutiry, Omar, Dhahri, Habib, Hussain, Amir, Alimi, Adel M.

“…Particle Swarm Optimization (PSO) system based on the distributed architecture over multiple sub-swarms is very efficient for static multi-objective…”
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Ensemble prediction-based dynamic robust multi-objective optimization methods by Guo, Yinan, Yang, Huan, Chen, Meirong, Cheng, Jian, Gong, Dunwei

“…Many real-world multi-objective optimization problems are subject to environmental changes over time, resulting in changing Pareto-optima. Wide studies on…”
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A dynamic multi-objective optimization evolutionary algorithm with adaptive boosting by Peng, Hu, Xiong, Jianpeng, Pi, Chen, Zhou, Xinyu, Wu, Zhijian

“…Dynamic multi-objective optimization problems (DMOPs) are prevalent in the real world, where the challenge in solving DMOPs is how to track the time-varying…”
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A micro dynamic multi-objective evolutionary algorithm with flexible response strategy by Wu, Shi, Peng, Hu, Liu, Zhuo, Liu, Lin, Cao, Lianglin, Wu, Zhijian

“…Resource constraints exist in solving realistic dynamic multi-objective optimization problems (DMOPs), such as those based on low-power microprocessors…”
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Tracking Moving Optima of Dynamic Multi-objective Problem via Prediction in Objective Space by Zhou, Wei, Feng, Liang, Zhu, Zexuan, Liu, Kai, Chen, Chao, Wu, Zhou

“…Solving dynamic multi-objective optimization problem (DMOP) requires optimizing multiple conflicting objectives simultaneously. When a dynamic is detected in…”
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Multi-reservoir ESN-based prediction strategy for dynamic multi-objective optimization by Yang, Cuili, Wang, Danlei, Tang, Jian, Qiao, Junfei, Yu, Wen

“…Dynamic multi-objective optimization problems (DMOPs) have several conflicting and time-varying objectives or constraints. To quickly follow the dynamical…”
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Dynamic multi-objective evolutionary algorithms in noisy environments by Sahmoud, Shaaban, Topcuoglu, Haluk Rahmi

“…Real-world multi-objective optimization problems encounter different types of uncertainty that may affect the quality of solutions. One common type is the…”
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A learnable population filter for dynamic multi-objective optimization by Fang, Zheng, Li, Han, Hu, Liwei, Zeng, Nianyin

“…In this paper, a novel learnable population filter is proposed to solve the dynamic multi-objective problems (DMOPs), whose main idea is to pick out potential…”
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Diffusion Learning-guided Evolution for Large-scale Dynamic Multi-Objective Optimization by Li, Chenyang, Yen, Gary G., He, Zhenan

“…Large-scale, dynamic multi-objective optimization problems (LSDMOPs) extend traditional DMOPs into high-dimensional decision spaces, reflecting the growing…”
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An Adaptive Dual-Domain Prediction Strategy based on Second-Order Derivatives for Dynamic Multi-Objective Optimization by Lei, Ru, Li, Lin, Stolkin, Rustam, Feng, Bin

“…This paper tackles dynamic multi-objective optimization problems (DMOPs) by proposing novel change prediction strategies within an evolutionary algorithm…”
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Adaptive prediction strategy based on inflection point partitioning and local environment type detection by Hu, Yaru, Fu, Wen, Ou, Junwei, Yang, Xiao, Zou, Juan

“…Dynamic multi-objective optimization problems (DMOPs) involve objective functions, constraints, and environmental parameters that change over time. It is…”
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Exploiting characterization of dynamism for enhancing dynamic multi-objective evolutionary algorithms by Sahmoud, Shaaban, Topcuoglu, Haluk Rahmi

“…Characterization of dynamism is an essential phase for some of the dynamic multi-objective evolutionary algorithms (DMOEAs) in order to improve their…”
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An acceleration-based prediction strategy for dynamic multi-objective optimization by Zhang, Junxi, Qu, Shiru, Zhang, Zhiteng, Cheng, Shaokang, Li, Mingxing, Bi, Yang

“…This paper addresses the problem of dynamic multi- objective optimization problems (DMOPs), by demonstrating new approaches to change detection and change…”
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An efficient spread-based evolutionary algorithm for solving dynamic multi-objective optimization problems by Falahiazar, Alireza, Sharifi, Arash, Seydi, Vahid

“…Dynamic multi-objective optimization algorithms are used as powerful methods for solving many problems worldwide. Diversity, convergence, and adaptation to…”
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A Distributed Bi-Behaviors Crow Search Algorithm for Dynamic Multi-Objective Optimization and Many-Objective Optimization Problems by Aboud, Ahlem, Rokbani, Nizar, Neji, Bilel, Al Barakeh, Zaher Al, Mirjalili, Seyedali, Alimi, Adel M.

“…Dynamic Multi-Objective Optimization Problems (DMOPs) and Many-Objective Optimization Problems (MaOPs) are two classes of the optimization field that have…”
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Cellular teaching-learning-based optimization approach for dynamic multi-objective problems by Birashk, Amin, Kazemi Kordestani, Javidan, Meybodi, Mohammad Reza

“…Many real-world optimization problems involve several conflicting objectives that must be optimized simultaneously. Furthermore, most optimization problems…”
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Recent Advances in Machine Learning and Computational Intelligence

“…Machine learning and computational intelligence have been applied to various areas and witnessed many successes. The research in this publication explorse many…”
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A Novel Coupling Algorithm Based on Glowworm Swarm Optimization and Bacterial Foraging Algorithm for Solving Multi-Objective Optimization Problems by Wang, Yechuang, Cui, Zhihua, Li, Wuchao

“…In the real word, optimization problems in multi-objective optimization (MOP) and dynamic optimization can be seen everywhere. During the last decade, among…”
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An Investigation of Hybrid Framework for Dynamic Multi Objective Problems by Berna KİRAZ

“…Multi-objective evolutionary algorithms and selection hyper-heuristics are adaptive methods that can handle different types of dynamism which may occur in the…”
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Diffusion Meets Evolution: Constraint-Guided Learning for Large-Scale Dynamic Multi-Objective Evolutionary Optimization by Li, Chenyang, Yen, Gary G., He, Zhenan

“…Large-scale dynamic multi-objective optimization problems (LSDMOPs) are becoming increasingly prevalent in practical scenarios such as logistics planning,…”
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