Výsledky vyhľadávania - multi objective (evolutionary OR evolution) algorithm

Multi-Objective Neural Evolutionary Algorithm for Combinatorial Optimization Problems Autor Shao, Yinan, Lin, Jerry Chun-Wei, Srivastava, Gautam, Guo, Dongdong, Zhang, Hongchun, Yi, Hu, Jolfaei, Alireza

“…). In this article, we present an end-to-end multi-objective neural evolutionary algorithm based on decomposition and dominance (MONEADD…”
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Multi-strategy multi-objective differential evolutionary algorithm with reinforcement learning Autor Han, Yupeng, Peng, Hu, Mei, Changrong, Cao, Lianglin, Deng, Changshou, Wang, Hui, Wu, Zhijian

“…Multiobjective evolutionary algorithms (MOEAs) have gained much attention due to their high effectiveness and efficiency in solving multiobjective optimization problems (MOPs…”
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A dynamic dual-population co-evolution multi-objective evolutionary algorithm for constrained multi-objective optimization problems Autor Kong, Xiangsong, Yang, Yongkuan, Lv, Zhisheng, Zhao, Jing, Fu, Rong

“… This paper proposed a dynamic dual-population co-evolution multi-objective evolutionary algorithm (DDCMEA…”
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A multi-objective evolutionary algorithm based on dimension exploration and discrepancy evolution for UAV path planning problem Autor Xu, Xiuju, Xie, Chengyu, Luo, Zongfu, Zhang, Chuanfu, Zhang, Tao

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A multi-objective differential evolutionary algorithm for constrained multi-objective optimization problems with low feasible ratio Autor Yang, Yongkuan, Liu, Jianchang, Tan, Shubin, Wang, Honghai

“…Most current evolutionary multi-objective optimization (EMO) algorithms perform well on multi-objective optimization problems without constraints…”
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Solving multi-objective optimal power flow problem via forced initialised differential evolution algorithm Autor Shaheen, Abdullah M., El-Sehiemy, Ragab A., Farrag, Sobhy M.

“…This study proposes a multi-objective differential evolution algorithm (MO-DEA) based on forced initialisation to solve the optimal power flow (OPF) problem…”
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A dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems Autor Zou, Juan, Sun, Ruiqing, Yang, Shengxiang, Zheng, Jinhua

“… To solve this problem, we propose a dual-population multi-objective optimization evolutionary algorithm…”
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A two-archive model based evolutionary algorithm for multimodal multi-objective optimization problems Autor Hu, Yi, Wang, Jie, Liang, Jing, Wang, Yanli, Ashraf, Usman, Yue, Caitong, Yu, Kunjie

“… decision space and objective space) in recent years. However, most existing methods only use single evolutionary operator to generate offsprings and ignore the advantage of using hybrid evolutionary algorithm…”
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Decomposition-based multi-objective evolutionary algorithm with customized evolution strategy according to population state Autor Chen, Lexing, Li, Taiyong, Zhu, Donglin, Deng, Wu

“…Multi-objective evolutionary algorithms (MOEAs) are designed to obtain a set of solutions that closely approximate the Pareto front and maintain uniform distribution along…”
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Cultural transmission based multi-objective evolution strategy for evolutionary multitasking Autor Xu, Zhiwei, Liu, Xiaoming, Zhang, Kai, He, Juanjuan

“…In recent years, many efficient evolutionary multitasking (EMT) algorithms have been proposed to solve multi-objective multi-task optimization problems…”
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Multi-objective evolutionary algorithm based on RBF network for solving the stochastic vehicle routing problem Autor Niu, Yunyun, Shao, Jie, Xiao, Jianhua, Song, Wen, Cao, Zhiguang

“… Most multi-objective evolutionary algorithm dealing with this problem update current population without any guidance from previous searching experience…”
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An archive-assisted multi-modal multi-objective evolutionary algorithm Autor Chen, Peng, Li, Zhimeng, Qiao, Kangjia, Suganthan, P.N., Ban, Xuanxuan, Yu, Kunjie, Yue, Caitong, Liang, Jing

“…). However, existing multi-modal multi-objective evolutionary algorithms (MMOEAs) encounter difficulties in concurrently enhancing solution quality in both decision space and objective space…”
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A dual-time dual-population multi-objective evolutionary algorithm with application to the portfolio optimization problem Autor Song, Yingjie, Han, Lihuan, Zhang, Bin, Deng, Wu

“…The article proposes a dual-time dual-population multi-objective evolutionary algorithm, DTDP-EAMO, to address the challenges faced by multi-objective differential evolution algorithms in solving…”
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Multi-objective energy management for Atkinson cycle engine and series hybrid electric vehicle based on evolutionary NSGA-II algorithm using digital twins Autor Li, Yangyang, Wang, Shuqian, Duan, Xiongbo, Liu, Shujing, Liu, Jingping, Hu, Song

“… software, MATLAB/Simulink software and multi objective evolutionary optimization using evolutionary non-dominated sorting genetic algorithm…”
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A competitive mechanism based multi-objective differential evolution algorithm and its application in feature selection Autor Pan, Jeng-Shyang, Liu, Nengxian, Chu, Shu-Chuan

“…A large number of evolutionary algorithms have been introduced for multi-objective optimization problems in the past two decades…”
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Adaptive crossover operator based multi-objective binary genetic algorithm for feature selection in classification Autor Xue, Yu, Zhu, Haokai, Liang, Jiayu, Słowik, Adam

“… Generally speaking, feature selection can be considered as a multi-objective optimization problem…”
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An Indicator-Based Evolutionary Algorithm for Large-Scale Constrained Multiobjective Optimization Autor Zhong, Xiaoyu, Yao, Xiangjuan, Qiao, Kangjia, Gong, Dunwei, Jin, Yaochu

“…Most existing constrained multiobjective evolutionary algorithms (CMOEAs) experience a dramatic performance degradation when solving large-scale constrained multiobjective optimization problems (LSCMOPs…”
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Scheduling of Continuous Annealing With a Multi-Objective Differential Evolution Algorithm Based on Deep Reinforcement Learning Autor Li, Tianyang, Meng, Ying, Tang, Lixin

“… In this paper, we formulate a multi-objective optimization model for the problem and develop an adaptive multi-objective differential evolutionary based on deep reinforcement learning (AMODE-DRL…”
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A multi-objective discrete differential evolution algorithm for energy-efficient distributed blocking flow shop scheduling problem Autor Zhao, Fuqing, Zhang, Hui, Wang, Ling, Xu, Tianpeng, Zhu, Ningning, Jonrinaldi, Jonrinaldi

“… A multi-objective discrete differential evolution (MODE) algorithm is proposed to solve the energy-efficient distributed blocking flow shop scheduling problem (EEDBFSP…”
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A constrained multi-objective evolutionary algorithm based on decomposition and dynamic constraint-handling mechanism Autor Yang, Yongkuan, Liu, Jianchang, Tan, Shubin

“… Some constrained multi-objective evolutionary algorithms (CMOEAs) have been developed for CMOPs, but they still suffer from the problems of easily getting trapped into local optimal solutions and low convergence…”
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