Search Results - Evolutionary multi-objective algorithm

COTLEA: COpula-based Transfer Learning Evolutionary Algorithm for Multi-Objective Optimization Problems

Authors: Benali, Fodil de Runz, Cyril Labroche, Nicolas et al.

Contributors: Benali, Fodil de Runz, Cyril Labroche, Nicolas et al.

Source: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :339-342

Subject Terms: Copula Theory, Copula Theory Representation learning Transfer Learning Evolutionary Computation, Transfer Learning, [INFO] Computer Science [cs], Evolutionary Computation, Representation learning

File Description: application/pdf

Access URL: https://hal.science/hal-05208227v1
https://doi.org/10.1145/3712255.3726566
https://hal.science/hal-05208227v1/document

Competition-based two-stage evolutionary algorithm for constrained multi-objective optimization

Authors: Lupeng Hao Weihang Peng Junhua Liu et al.

Source: Mathematics and Computers in Simulation. 230:207-226

Subject Terms: constrained multi-objective evolutionary algorithms, Biology and other natural sciences, three-criteria ranking, competitive, Operations research, mathematical programming, two-stage

File Description: application/xml

Access URL: https://zbmath.org/8031638
https://doi.org/10.1016/j.matcom.2024.11.009

Balancing Metabolic Homeostasis and Enzyme Cost with Multi-Objective Evolutionary Algorithms

Authors: Lequertier, Arthur Liebermeister, Wolfram Tonda, Alberto

Contributors: Lequertier, Arthur Liebermeister, Wolfram Tonda, Alberto

Source: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :855-858

Subject Terms: [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]

File Description: application/pdf

Access URL: https://hal.inrae.fr/hal-05195025v1

A Comprehensive Analysis on Enhancing Multi-Objective Evolutionary Algorithms Using Chaotic Dynamics and Dominant Relationship-Based Search Strategies

Authors: Zitong Wang Yan Pei Jianqiang Li

Source: IEEE Access, Vol 13, Pp 33455-33470 (2025)

Subject Terms: Evolutionary multi-objective optimization, search strategy, chaotic evolution, Electrical engineering. Electronics. Nuclear engineering, multi-objective optimization problem, multi-objective chaotic evolution algorithm, optimization, TK1-9971

Access URL: https://doaj.org/article/4bb3456137b84551b16609a9703403f2

A multi-objective bi-population evolutionary algorithm for human-robot collaborative disassembly sequence planning with interval type-2 fuzzy modelling

Authors: Zhang, Xuesong Fathollahi-Fard, Amir M. Tian, Guangdong et al.

Source: Journal of Engineering Design. :1-57

An Improved Multi-Objective Evolutionary Algorithm for Grid Map Path Planning

Authors: DONG Dejin, WANG Changcheng, CAI Yunze

Source: Shanghai Jiaotong Daxue xuebao, Vol 59, Iss 10, Pp 1558-1567 (2025)

Subject Terms: grid map, multi-objective path planning, multi-objective evolutionary algorithm, pareto front (pf), Engineering (General). Civil engineering (General), TA1-2040, Chemical engineering, TP155-156, Naval architecture. Shipbuilding. Marine engineering, VM1-989

File Description: electronic resource

Relation: https://xuebao.sjtu.edu.cn/article/2025/1006-2467/1006-2467-59-10-1558.shtml; https://doaj.org/toc/1006-2467

Access URL: https://doaj.org/article/7c928b53b401476c9c59f5b2a4355ac3

A Surrogate-Assisted Multi-Objective Evolutionary Algorithm with Discontinuity-Inducing Variables

Authors: Chunlin He Guangsong Guo Yong Zhang et al.

Source: Tsinghua Science and Technology. 31:349-378

Result diversification with negative type distances by multi-objective evolutionary algorithms

Authors: Dan-Xuan Liu Chao Qian

Source: Fundamental Research, Vol 5, Iss 6, Pp 2892-2900 (2025)

Subject Terms: Result diversification, Monotone submodular functions, Diversities, Negative type distances, Multi-objective evolutionary algorithms, Science (General), Q1-390

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2667325823001140; https://doaj.org/toc/2667-3258

Access URL: https://doaj.org/article/13c8b4add135459c8ed22578087622e7

Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces

Authors: Doerr, Benjamin Krejca, Martin S. Rudolph, Günter

Source: Proceedings of the AAAI Conference on Artificial Intelligence. 39:26955-26963

Subject Terms: FOS: Computer and information sciences, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE)

Access URL: http://arxiv.org/abs/2412.11684

Tracing Genome Influence in Multi-Objective Evolutionary Algorithms

Authors: Tobias Benecke Sanaz Mostaghim

Source: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :1807-1815

Closing the Optimization and Generalization Gap in Deep Learning with A Multi-Objective Evolutionary Algorithm

Authors: Toki Tahmid Inan Shahana Shultana Amarda Shehu

Source: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :727-730

Fair Performance Comparison of Evolutionary Multi-Objective Algorithms

Authors: Hisao Ishibuchi Lie Meng Pang

Source: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :1125-1152

Multi-objective Evolutionary Algorithm for Production Planning in Cold-Rolling

Authors: Weiyan Jia Lixin Tang Yang Yang et al.

Source: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :835-838

Investigating the Spreadability of Problems in Evolutionary Multi-objective Optimization Algorithms

Authors: Weifeng Guan Fangqing Gu Yingxuan Liang et al.

Source: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :359-362

A Constrained Multi-objective Co-Evolutionary Algorithm Based on Operator Score and Reward

Authors: Kangshun Li Juhong Wu Shumin Xie

Source: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :387-390

Impact of Reformulation for the Real-World Constrained Multi-Objective Problems on the Performance of Evolutionary Algorithms

Authors: Jinglin Wang Hongyu Zhu Yang Nan et al.

Source: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :443-446

Performance Benchmarking of Multi-Objective Surrogate-Assisted Evolutionary Algorithms on a Novel Computational Fluid Dynamics Test Case

Authors: Ben Moore Andrew Roberts Daniel Jarman et al.

Source: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :2472-2480

A Large Language Model-assisted Evolutionary Algorithm for Expensive Constrained Multi-objective Optimization

Authors: Siyu Chen Haoran Tang Jinyuan Zhang et al.

Source: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :347-350

An Evolutionary Algorithm for Solving Decision Space Constrained Multi-Objective Binary Optimization Problems

Authors: Felipe Honjo Ide Hernan Aguirre Kiyoshi Tanaka

Source: Proceedings of the Genetic and Evolutionary Computation Conference. :563-571

Why Dominance Is Not Enough: Lessons from Practical Evolutionary Multi-Objective Algorithms

Authors: Duc-Cuong Dang Andre Opris Dirk Sudholt

Source: Proceedings of the Genetic and Evolutionary Computation Conference. :1604-1612