Search Results - reference vector-based evolutionary algorithms

An Adaptive Reference Vector-Based Interval Multiobjective Evolutionary Algorithm by Gan, Xingjia, Sun, Jing, Gong, Dunwei, Jia, Dongbao, Dai, Hongwei, Zhong, Zhaoman

“… Therefore, an adaptive reference vector-based interval multiobjective evolutionary algorithm in the framework of MOEA/D (IMOEA…”
Get full text

A strengthened diversity indicator and reference vector-based evolutionary algorithm for many-objective optimization by Sun, Wenjing, Li, Junhua

“… To address these issues, this paper proposes a strengthened diversity indicator and reference vector-based evolutionary algorithm for many-objective optimization, termed SDIEA…”
Get full text

A reference vector based multiobjective evolutionary algorithm with Q-learning for operator adaptation by Jiao, Keming, Chen, Jie, Xin, Bin, Li, Li

“… As crossover operators can affect the offspring distribution, an adaptive operator selection and reference vector based evolutionary algorithm (OVEA…”
Get full text

An Adaptative Reference Vector Based Evolutionary Algorithm for Many-Objective Optimization by Li, Junhua, Chen, Guoyu, Li, Ming, Chen, Hao

“… This paper proposes an adaptive reference vector based evolutionary algorithm for many-objective optimization, termed as ARVEA…”
Get full text

A Framework to Handle Multimodal Multiobjective Optimization in Decomposition-Based Evolutionary Algorithms by Tanabe, Ryoji, Ishibuchi, Hisao

“… While decomposition-based evolutionary algorithms have good performance for multiobjective optimization, they are likely to perform poorly for multimodal multiobjective optimization due to the lack…”
Get full text

An enhanced reference vectors-based multi-objective evolutionary algorithm with neighborhood-based adaptive adjustment by Fan, Rui, Wei, Lixin, Sun, Hao, Hu, Ziyu

“… Inspired by this issue, an enhanced reference vectors-based multi-objective evolutionary algorithm with neighborhood-based adaptive adjustment (MOEA-NAA) is proposed…”
Get full text

A Reference-Vector-Based Strength Pareto Evolutionary Algorithm 2 by Zhang, Lu, Meng, Qinchao

“…In this paper, a reference-vector-based strength Pareto evolutionary algorithm 2 (RVSPEA2…”
Get full text

Two reference vector sets based evolutionary algorithm for many‐objective optimization by Qin, Cifeng, Ming, Fei, Gong, Wenyin

“… In this paper, a novel two reference vector sets based evolutionary algorithm, referred to as TVEA, is proposed to solve both types of MaOPs…”
Get full text

A Reference Vector based Many-Objective Evolutionary Algorithm with Feasibility-aware Adaptation by Zhao, Mingde, Ge, Hongwei, Zhang, Kai, Hou, Yaqing

“… This paper proposes a reference vector based algorithm which uses two interacting engines to adapt the reference vectors and to evolve the population towards the true Pareto Front (PF) s.t…”
Get full text

Entropy based evolutionary algorithm with adaptive reference points for many-objective optimization problems by Zhou, Chong, Dai, Guangming, Zhang, Cuijun, Li, Xiangping, Ma, Ke

“… Reference points or weight vectors based evolutionary algorithms have been developed successfully for solving MaOPs…”
Get full text

Identifying Pareto Fronts Reliably Using a Multistage Reference-Vector-Based Framework by Deb, Kalyanmoy, Lopes, Claudio Lucio do Val, Martins, Flávio Vinícius Cruzeiro, Wanner, Elizabeth Fialho

“…Evolutionary multiobjective and many-objective optimization (EMO and EMaO) algorithms are increasingly used to identify the true shape and location…”
Get full text

Identifying Pareto Fronts Reliably Using a Multi-Stage Reference-vector-based Framework by Deb, Kalyanmoy, Lopes, Claudio Lucio do Val, Martins, Flavio Vinicius Cruzeiro, Wanner, Elizabeth Fialho

“…Evolutionary multi-objective and many-objective optimization (EMO and EMaO) algorithms are increasingly being used to identify the true shape and location…”
Get full text

Reference Vector-Based Multiobjective Clustering Ensemble Approach for Time Series Forecasting by Liu, Chao, Gao, Fengfeng, Zhang, Mengwan, Li, Yuanrui, Qian, Cun

“…) of evolutionary attention mechanism and reference vector based clustering algorithm (RVMOC) and proposes a new prediction method of the stock market return rate…”
Get full text

Evolutionary algorithms in robot calibration by Bastl, Pavel, Chakraborti, Nirupam, Valášek, Michael

“… EvoDN2 was used together with a reference vector-based evolutionary…”
Get full text

A many-objective evolutionary algorithm based on reference vector guided selection and two diversity and convergence enhancement strategies by Yang, Lei, Zhang, Yuanye, Cao, Jiale, Li, Kangshun, Wang, Dongya

“… Reference vector guided selection is an exemplary method for decomposition-based many-objective evolutionary algorithms (MaOEAs…”
Get full text

A solution potential-based adaptation reference vector evolutionary algorithm for many-objective optimization by Li, Wei, Chen, Yangtao, Dong, Yuehua, Huang, Ying

Get full text

A constrained many-objective evolutionary algorithm with learning vector quantization-based reference point adaptation by Wang, Chao, Huang, Huitao, Pan, Huimin

“… the distribution of feasible regions. To address this issue, we propose a constrained many-objective evolutionary algorithm with reference point adaptation…”
Get full text

An Enhanced Decomposition-Based Evolutionary Algorithm With Adaptive Reference Vectors by Asafuddoula, Md, Singh, Hemant Kumar, Ray, Tapabrata

“…). Development of algorithms to solve MaOPs has garnered significant research attention in recent years…”
Get full text

A novel hybrid hypervolume indicator and reference vector adaptation strategies based evolutionary algorithm for many-objective optimization by Dhiman, Gaurav, Soni, Mukesh, Pandey, Hari Mohan, Slowik, Adam, Kaur, Harsimran

“…A novel hybrid many-objective evolutionary algorithm called Reference Vector Guided Evolutionary Algorithm based on hypervolume indicator (H-RVEA…”
Get full text

Efficient constrained large-scale multi-objective optimization based on reference vector-guided evolutionary algorithm by Fan, Chaodong, Wang, Jiawei, Yang, Laurence T., Xiao, Leyi, Ai, Zhaoyang

“… For the large-scale of decision variables, some reference vector-guided, competitive group optimization-based and pairwise child generation-based algorithms have improved the search efficiency of constrained LSMOPs…”
Get full text