Výsledky vyhledávání - "Dynamic multi-objective evolutionary algorithm"

Dynamic multi-objective evolutionary algorithm based on knowledge transfer Autor Wu, Linjie, Wu, Di, Zhao, Tianhao, Cai, Xingjuan, Xie, Liping

“… However, if all individuals are transferred, they may experience negative transfers. Therefore, this paper proposes a novel knowledge transfer method for the dynamic multi-objective evolutionary algorithm (T-DMOEA…”
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A dynamic multi-objective evolutionary algorithm based on intensity of environmental change Autor Hu, Yaru, Zheng, Jinhua, Zou, Juan, Yang, Shengxiang, Ou, Junwei, Wang, Rui

“…•This paper introduced U-test mechanism to test decision variable and market them into macro-changing decision and micro-changing decision.•An effective update…”
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A dynamic multi-objective evolutionary algorithm using a change severity-based adaptive population management strategy Autor Azzouz, Radhia, Bechikh, Slim, Said, Lamjed Ben

“…In addition to the need for simultaneously optimizing several competing objectives, many real-world problems are also dynamic in nature. These problems are…”
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A dynamic multi-objective evolutionary algorithm based on genetic engineering and improved particle swarm prediction strategy Autor Yang, Yue, Ma, Yongjie, Zhao, Yan, Zhang, Wenping, Wang, Yu

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A dynamic multi-objective evolutionary algorithm based on gene sequencing and gene editing Autor Yang, Yue, Ma, Yongjie, Wang, Minghao, Wang, Peidi

“… Inspired by the fact that gene sequencing can discover biological gene defects, this paper proposes a dynamic multi-objective evolutionary algorithm based on gene sequencing and gene editing (GSGE…”
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Antenna design using dynamic multi-objective evolutionary algorithm Autor Jiao, Ruwang, Sun, Yongzhi, Sun, Jianqing, Jiang, Yuhong, Zeng, Sanyou

“…To enhance the robustness and stability of the antenna design, a novel methodology is presented for modelling the antenna design problem as the constrained…”
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A dynamic multi-objective evolutionary algorithm based on Mahalanobis distance and intra-cluster individual correlation rectification Autor Ge, Fangzhen, Hou, Xing, Chen, Debao, Shen, Longfeng, Liu, Huaiyu

“…). Although many dynamic multi-objective evolutionary algorithms (DMOEAs) have demonstrated impressive performance, there is still room for improvement in accurately predicting population behavior…”
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Dynamic multi-objective evolutionary algorithm with objective space prediction strategy Autor Guerrero-Peña, Elaine, Araújo, Aluizio F.R.

“…To solve dynamic multi-objective optimization problems, a dynamic multi-objective evolutionary algorithm (DMOEA…”
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A self-evolving fuzzy system online prediction-based dynamic multi-objective evolutionary algorithm Autor Sun, Jing, Gan, Xingjia, Gong, Dunwei, Tang, Xiaoke, Dai, Hongwei, Zhong, Zhaoman

“… However, the previous dynamic multi-objective evolutionary algorithms usually use linear prediction models to generate the initial population in the new environment, and some nonlinear prediction…”
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A Self-Learning Based Dynamic Multi-Objective Evolutionary Algorithm for Resilient Scheduling Problems in Steelmaking Plants Autor Jiang, Sheng-Long, Liu, Qie, Bogle, I. David L., Zheng, Zhong

“…Scheduling is one of the most important missions for plant-wide optimization in steelmaking manufacturing systems. In the context of dynamic scheduling, the…”
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Dynamic multi-objective evolutionary algorithm for IoT services Autor Fang, Shun-shun, Chai, Zheng-yi, Li, Ya-lun

“… Then a dynamic multi-objective evolutionary algorithm for dynamic IoT services(dMOEA/DI) is proposed. In dMOEA/DI, we have designed operators such as the appropriate encoding…”
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Multi-strategy dynamic multi-objective evolutionary algorithm with hybrid environmental change responses Autor Peng, Hu, Mei, Changrong, Zhang, Sixiang, Luo, Zhongtian, Zhang, Qingfu, Wu, Zhijian

“… However, single strategy is not always effective. In this paper, we propose a multi-strategy dynamic multi-objective evolutionary algorithm with hybrid change response (MDMEA-HCR) to solve DMOPs…”
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A dynamic multi-objective evolutionary algorithm with variable stepsize and dual prediction strategies Autor Peng, Hu, Pi, Chen, Xiong, Jianpeng, Fan, Debin, Shen, Fanfan

“…The prediction strategy is a key method for solving dynamic multi-objective optimization problems (DMOPs), particularly the commonly used linear prediction…”
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A dynamic multi-objective evolutionary algorithm based on geometric prediction and vector–scalar transformation strategy Autor Zhao, Yan, Ma, Yongjie, Yang, Yue

“…Dynamic multi-objective evolutionary algorithms (DMOEAs) have attracted significant attention from scholars due to their strong robustness and wide range of applications across various fields…”
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Dynamic Multi-Objective Evolutionary Algorithm Based on Spectral Clustering Prediction Autor Sheng, Zhao-Jun, Li, Erchao

“…), this paper proposes a dynamic multi-objective evolutionary algorithm (DMOEA) based on spectral clustering prediction (SCP…”
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A dynamic multi-objective evolutionary algorithm based on two-stage dimensionality reduction and a region Gauss adaptation prediction strategy Autor Yang, Yue, Ma, Yongjie, Wang, Peidi, Xu, Yang, Wang, Minghao

“… To address this problem, we define a series of new PS region changes. Based on these definitions, we propose a dynamic multi-objective evolutionary algorithm based on two…”
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A dynamic multi-objective evolutionary algorithm based on Niche prediction strategy Autor Zheng, Jinhua, Zhang, Bo, Zou, Juan, Yang, Shengxiang, Hu, Yaru

“…In reality, many multi-objective optimization problems are dynamic. The Pareto optimal front (PF) or Pareto optimal solution (PS) of these dynamic…”
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A dynamic multi-objective evolutionary algorithm based on prediction Autor Wu, Fei, Chen, Jiacheng, Wang, Wanliang

“…The dynamic multi-objective optimization problem (DMOP) is a common problem in optimization problems; the main reasons are the objective’s conflict and…”
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Dynamic multi-objective evolutionary algorithm based on decomposition with hybrid prediction Autor Zhao, Shenjia, Zhang, Hairui, Lyu, Rui

“…The proposed dynamic multi-objective evolutionary algorithm, DMOEA/D-HP, addresses temporal variations in both the Pareto Front (PF) and Pareto Set (PS…”
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Dynamic multi-objective evolutionary algorithm based on dual-layer collaborative prediction under multiple perspective Autor Hu, Yaru, Li, Yana, Ou, Junwei, Peng, Jiankang, Li, Jun, Zheng, Jinhua

“…Prediction-based strategies become increasingly prominent in addressing dynamic multi-objective optimization problems (DMOPs). However, challenges remain in…”
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