Search Results - reference vector-based evolutionary algorithms*

An enhanced reference vectors-based multi-objective evolutionary algorithm with neighborhood-based adaptive adjustment.

Authors: Fan, Rui Wei, Lixin Sun, Hao et al.

Source: Neural Computing & Applications. Aug2020, Vol. 32 Issue 15, p11767-11789. 23p.

Subject Terms: *ALGORITHMS, *EVOLUTIONARY algorithms, *EVOLUTIONARY computation

A strengthened diversity indicator and reference vector-based evolutionary algorithm for many-objective optimization.

Authors: Sun, Wenjing Li, Junhua

Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications. Aug2021, Vol. 25 Issue 15, p10257-10273. 17p.

Subject Terms: *MATHEMATICAL optimization, *SCALABILITY, *EVOLUTIONARY algorithms, *ALGORITHMS

Reference Vector-Based Multiobjective Clustering Ensemble Approach for Time Series Forecasting.

Authors: Liu, Chao Gao, Fengfeng Zhang, Mengwan et al.

Source: Computational Economics; Jul2024, Vol. 64 Issue 1, p181-210, 30p

Subject Terms: DISCRETE wavelet transforms, EVOLUTIONARY algorithms, TIME series analysis, SET functions, PROBLEM solving

An Adaptive Reference Vector-Guided Evolutionary Algorithm Using Growing Neural Gas for Many-Objective Optimization of Irregular Problems

Authors: Qiqi Liu Yaochu Jin Martin Heiderich et al.

Source: IEEE Transactions on Cybernetics. 52:2698-2711

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, Humans, 02 engineering and technology, Nerve Agents, Biological Evolution, Algorithms

File Description: text

Access URL: https://surrey-researchmanagement.esploro.exlibrisgroup.com/view/delivery/44SUR_INST/12138785960002346/13140477130002346
https://pubmed.ncbi.nlm.nih.gov/33001813
https://www.ncbi.nlm.nih.gov/pubmed/33001813
https://pubmed.ncbi.nlm.nih.gov/33001813/
https://epubs.surrey.ac.uk/858540/
https://ieeexplore.ieee.org/document/9210750
https://surrey.eprints-hosting.org/858540/

An Adaptative Reference Vector Based Evolutionary Algorithm for Many-Objective Optimization

Authors: Junhua Li Guoyu Chen Ming Li et al.

Source: IEEE Access, Vol 7, Pp 80506-80518 (2019)

Subject Terms: Many-objective optimization, evolutionary algorithm, convergence, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, reference vector, diversity, TK1-9971

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08737898.pdf
https://doaj.org/article/cf094e1a83514cbcbc3df387446f1128
https://dblp.uni-trier.de/db/journals/access/access7.html#LiCLC19
https://ieeexplore.ieee.org/document/8737898/

A Reference Vector-Based Simplified Covariance Matrix Adaptation Evolution Strategy for Constrained Global Optimization

Authors: Abhishek Kumar Swagatam Das Rammohan Mallipeddi

Source: IEEE Transactions on Cybernetics. 52:3696-3709

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

Access URL: https://pubmed.ncbi.nlm.nih.gov/32936757
https://ieeexplore.ieee.org/document/9198938
https://www.ncbi.nlm.nih.gov/pubmed/32936757

Evolutionary optimization of many-objective problems with irregular Pareto fronts

Authors: Liu, Qiqi Jin, Yaochu

Contributors: Liu, Qiqi Jin, Yaochu

Subject Terms: Multi-objective Evolutionary Algorithms, Surrogate-assisted Evolutionary Algorithms, Irregular Pareto Fronts, Reference Vectors

Access URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.856286

Multi-objective optimization of daylighting performance and solar radiation for building geometry using a hybrid evolutionary algorithm.

Authors: Lou, Shaoyang Luo, Xiaojun Chen, Zhonggou et al.

Source: Scientific Reports; 7/22/2025, Vol. 15 Issue 1, p1-19, 19p

Subject Terms: DAYLIGHTING, SOLAR radiation, EVOLUTIONARY algorithms, GEOMETRY, PARAMETRIC modeling, MULTI-objective optimization, ENERGY consumption, ARCHITECTURAL design

A Reference Vector based Many-Objective Evolutionary Algorithm with Feasibility-aware Adaptation

Authors: Zhao, Mingde Ge, Hongwei Zhang, Kai et al.

Index Terms: Computer Science - Neural and Evolutionary Computing, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/1904.06302

Symmetrical Generalized Pareto Dominance and Adjusted Reference Vector Cooperative Evolutionary Algorithm for Many-Objective Optimization.

Authors: Zhu, Shuwei Zeng, Liusheng Cui, Meiji

Source: Symmetry (20738994); Nov2024, Vol. 16 Issue 11, p1484, 29p

Subject Terms: PROBLEM solving, EVOLUTIONARY algorithms, ALGORITHMS, SOCIAL dominance, COOPERATION

A many-objective evolutionary algorithm with metric-based reference vector adjustment.

Authors: Wang, Xujian Zhang, Fenggan Yao, Minli

Source: Complex & Intelligent Systems; Feb2024, Vol. 10 Issue 1, p207-231, 25p

Subject Terms: MATE selection, EVOLUTIONARY algorithms, ALGORITHMS

A reference vector based multiobjective evolutionary algorithm with Q-learning for operator adaptation.

Authors: Jiao, Keming Chen, Jie Xin, Bin et al.

Source: Swarm & Evolutionary Computation. Feb2023, Vol. 76, pN.PAG-N.PAG. 1p.

Subject Terms: Evolutionary algorithms, Benchmark problems (Computer science), Vector control, Algorithms

A parallel large-scale multiobjective evolutionary algorithm based on two-space decomposition.

Authors: Yin, Feng Cao, Bin

Source: Complex & Intelligent Systems; May2025, Vol. 11 Issue 5, p1-37, 37p

A Review of the Evolution of Multi-Objective Evolutionary Algorithms.

Authors: Hanne, Thomas Moghaddam, Mohammad Jahani

Source: Computers, Materials & Continua; 2025, Vol. 85 Issue 3, p4203-4236, 34p

Subject Terms: MULTI-objective optimization, ALGORITHMS, PARALLEL algorithms, COMPUTATIONAL intelligence

Reference vector-based multi-objective clustering for high-dimensional data.

Authors: Liu, Chao Li, Yuanrui Zhao, Qi et al.

Source: Applied Soft Computing. May2019, Vol. 78, p614-629. 16p.

Subject Terms: Gene expression, Prior learning, Evolutionary algorithms

Reference vector based a posteriori preference articulation for evolutionary multiobjective optimization

Authors: Cheng, Ran Olhofer, Markus Jin, Yaochu

Source: 2015 IEEE Congress on Evolutionary Computation (CEC). :939-946

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

Access URL: http://ieeexplore.ieee.org/document/7256991/citations
https://dblp.uni-trier.de/db/conf/cec/cec2015.html#ChengOJ15
https://epubs.surrey.ac.uk/840326/
https://ieeexplore.ieee.org/document/7256991/

A Two-State Dynamic Decomposition-Based Evolutionary Algorithm for Handling Many-Objective Optimization Problems.

Authors: Xing, Lining Li, Jun Cai, Zhaoquan et al.

Source: Mathematics (2227-7390); Feb2023, Vol. 11 Issue 3, p493, 21p

Subject Terms: DECOMPOSITION method, EVOLUTIONARY algorithms

Adaptive normal vector guided evolutionary multi- and many-objective optimization.

Authors: Hua, Yicun Liu, Qiqi Hao, Kuangrong

Source: Complex & Intelligent Systems; Jun2024, Vol. 10 Issue 3, p3709-3726, 18p

Subject Terms: EVOLUTIONARY algorithms, POLYESTER fibers, DEMOGRAPHIC change, ESTERIFICATION

Two reference vector sets based evolutionary algorithm for many‐objective optimization.

Authors: Qin, Cifeng Ming, Fei Gong, Wenyin

Source: IET Control Theory & Applications (Wiley-Blackwell); Oct2023, Vol. 17 Issue 15, p2017-2031, 15p

Subject Terms: EVOLUTIONARY algorithms, EVOLUTIONARY computation, ALGORITHMS

Population-based guiding for evolutionary neural architecture search.

Authors: Dendorfer, Stefan Kist, Andreas M.

Source: Scientific Reports; 11/7/2025, Vol. 15 Issue 1, p1-14, 14p

Subject Terms: EVOLUTIONARY algorithms, GENETIC mutation, EVOLUTIONARY models