Showing 1 - 20 of 11,507

1

Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces
Doerr, Benjamin ; Rudolph, Günter ; Krejca, Martin ; et al.
39th AAAI Conference on Artificial Intelligence (AAAI 2025). :26955-26963

Philadelphie, PA, United... [INFO.INFO-DS]Computer S... Data Structures and Algo... [INFO.INFO-AI]Computer S... Artificial Intelligence...
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2

Hot off the Press: Runtime Analysis for State-of-the-Art Multi-objective Evolutionary Algorithms on the Subset Selection Problem
Deng, Renzhong ; Zheng, Weijie ; Li, Mingfeng ; et al.
2025 Genetic and Evolutionary Computation Conference (GECCO '25). :17-18

Malaga, Spain runtime analysis multi-objective optimiza... Subset selection Subset selection multi-o... [INFO.INFO-DS]Computer S...
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3

Hot off the Press: Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces
Doerr, Benjamin ; Krejca, Martin, S ; Rudolph, Günter ; et al.
2025 Genetic and Evolutionary Computation Conference (GECCO '25). :23-24

Malaga, Spain Global simple evolutiona... multiobjective optimizat... runtime analysis integer domain unbounded
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4

Balancing Metabolic Homeostasis and Enzyme Cost with Multi-Objective Evolutionary Algorithms
Lequertier, Arthur ; Liebermeister, Wolfram ; Tonda, Alberto ; et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion. :855-858

[SDV.BIBS] Life Sciences...
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7

Result diversification with negative type distances by multi-objective evolutionary algorithms
Dan-Xuan Liu ; Chao Qian
Fundamental Research, Vol 5, Iss 6, Pp 2892-2900 (2025)

Result diversification Monotone submodular func... Diversities Negative type distances Multi-objective evolutio... Science (General)
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8

Tracing Genome Influence in Multi-Objective Evolutionary Algorithms
Tobias Benecke ; Sanaz Mostaghim
Proceedings of the Genetic and Evolutionary Computation Conference Companion. :1807-1815

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9

Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise
Dinot, Matthieu ; Doerr, Benjamin ; Hennebelle, Ulysse ; et al.
International Joint Conference on Artificial Intelligence. :5549-5557

Macao SAR, Macau SAR Chi... [INFO]Computer Science [...
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10

On multi-objective evolutionary algorithms
Fontes, Dalila B. M. M. ; Gaspar-Cunha, A. ; Universidade do Minho

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11
12

Real-World Cardboard Production Optimization Using Multi-Objective Evolutionary Algorithms
Iori Minakawa ; Shio Kawakami ; Hiroyuki Miyashita ; et al.
2025 IEEE Congress on Evolutionary Computation (CEC). :1-8

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13

ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-objective Evolutionary Algorithms
Ma, Yuxin ; Zhang, Zherui ; Cheng, Ran ; et al.

Computer Science - Neura... Computer Science - Human... Computer Science - Machi...
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14

ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-Objective Evolutionary Algorithms [Application Notes]
Yuxin Ma ; Zherui Zhang ; Ran Cheng ; et al.
IEEE Computational Intelligence Magazine. 20:78-94

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15

A Comprehensive Analysis on Enhancing Multi-Objective Evolutionary Algorithms Using Chaotic Dynamics and Dominant Relationship-Based Search Strategies
Zitong Wang ; Yan Pei ; Jianqiang Li
IEEE Access, Vol 13, Pp 33455-33470 (2025)

Evolutionary multi-objec... search strategy chaotic evolution Electrical engineering.... multi-objective optimiza... multi-objective chaotic...
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16

ParetoTracker: Understanding Population Dynamics in Multi-Objective Evolutionary Algorithms Through Visual Analytics
Zherui Zhang ; Fan Yang ; Ran Cheng ; et al.
IEEE Transactions on Visualization and Computer Graphics. 31:820-830

FOS: Computer and inform... Computer Science - Human... Computer Science - Neura... Neural and Evolutionary... Human-Computer Interacti...
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17

EvoFolio: a portfolio optimization method based on multi-objective evolutionary algorithms
Alfonso Guarino ; Domenico Santoro ; Luca Grilli ; et al.
Neural Computing and Applications. 36:7221-7243

Stock market Portfolio optimization Multi-objective evolutio... Realistic genetic operat... 0502 economics and busin... 05 social sciences
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18

Revolutionizing population sparsity assessment: machine learning–powered solutions for multi-objective evolutionary algorithms
Xuepeng Ren ; Maocai Wang ; Guangming Dai ; et al.
Engineering Optimization. :1-34

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19

A Review of the Evolution of Multi-Objective Evolutionary Algorithms
Thomas Hanne ; Mohammad Jahani Moghaddam
Computers, Materials & Continua. 0:1-10

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