Search Results - "Many-objective evolutionary algorithms"

Research on Many-Objective Evolutionary Algorithms Based on Hyper-Dominated Adaptive Convergence Calculation

Source: Computer Science and Application. 15:309-317

Diagnostic benchmarking of many-objective evolutionary algorithms for real-world problems

Authors: Jazmin Zatarain Salazar David Hadka Patrick Reed et al.

Source: Engineering Optimization. 57:287-308

Many-objective evolutionary algorithms based on reference-point-selection strategy for application in reactor radiation-shielding design

Authors: Cheng-Wei Liu Ai-Kou Sun Ji-Chong Lei et al.

Source: Nuclear Science and Techniques. 36

Hot off the Press: Near-Tight Runtime Guarantees for Many-Objective Evolutionary Algorithms

Authors: Simon Wietheger Benjamin Doerr

Source: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :85-86

A Constraint-Handling Technique for Decomposition-Based Constrained Many-Objective Evolutionary Algorithms

Authors: Fei Ming Wenyin Gong Ling Wang et al.

Source: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 53:7783-7793

Novel Extreme Point Estimation and Normalization for Many-objective Evolutionary Algorithms

Authors: Towa Kawaguchi Makoto Ohki

Source: 2023 International Seminar on Intelligent Technology and Its Applications (ISITIA). :685-690

Near-Tight Runtime Guarantees for Many-Objective Evolutionary Algorithms

Authors: Wietheger, Simon Doerr, Benjamin

Source: Lecture Notes in Computer Science ISBN: 9783031700842

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

Access URL: http://arxiv.org/abs/2404.12746

A reference vector adaptive strategy for balancing diversity and convergence in many-objective evolutionary algorithms

Authors: Lin Zhang Liping Wang Xiaotian Pan et al.

Source: Applied Intelligence. 53:7423-7438

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

Many-Objective Evolutionary Algorithms for Optimization of Vehicle-Road Cooperation Systems Based on Intelligent Wireless Sensor Networks

Authors: Tingting Liu Lei Zhang Xuefeng Ding

Source: IEEE Internet of Things Journal. :1-1

Design and optimization of diffraction-limited storage ring lattices based on many-objective evolutionary algorithms

Authors: He-Xing Yin Jia-Bao Guan Shun-Qiang Tian et al.

Source: Nuclear Science and Techniques. 34

Understanding Population Dynamics in Multi- and Many-Objective Evolutionary Algorithms for High-Resolution Approximations

Authors: Hugo Monzón Maldonado Hernán Aguirre Sébastien Verel et al.

Contributors: Hugo Monzón Maldonado Hernán Aguirre Sébastien Verel et al.

Source: Advances in Operations Research. 2021:1-16

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, [INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC]

File Description: text/xhtml; application/pdf

Access URL: https://downloads.hindawi.com/journals/aor/2021/6699277.pdf
https://hal.science/hal-03505604v1/document
https://doi.org/10.1155/2021/6699277
https://hal.science/hal-03505604v1

Archiver effects on the performance of state-of-the-art multi- and many-objective evolutionary algorithms

Authors: Bezerra, Leonardo C. T. Lopez-Ibanez, Manuel Stützle, Thomas

Source: Bezerra, L C T, Lopez-Ibanez, M & Stützle, T 2019, Archiver Effects on the Performance of State-of-the-art Multi and Many-objective Evolutionary Algorithms. in GECCO2019. The Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 13/07/19. https://doi.org/10.1145/3321707.3321789

Subject Terms: Multi-objective optimization, archiving, algorithm configuration, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, evolutionary algorithms, experimental analysis

File Description: application/pdf

Access URL: https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3321707.3321789&file=p620-bezerra_suppl.pdf&download=true
https://www.research.manchester.ac.uk/portal/files/103064738/BezLopStu2019gecco.pdf
https://dblp.uni-trier.de/db/conf/gecco/gecco2019.html#Bezerra0S19
https://www.research.manchester.ac.uk/portal/en/publications/archiver-effects-on-the-performance-of-stateoftheart-multi-and-manyobjective-evolutionary-algorithms(2e817efe-d282-4636-8984-197c0f39db67).html
https://difusion.ulb.ac.be/vufind/Record/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/301431/Details
https://dl.acm.org/doi/pdf/10.1145/3321707.3321789

Automatically Designing State-of-the-Art Multi- and Many-Objective Evolutionary Algorithms

Authors: Bezerra, Leonardo López-Ibáñez, Manuel Stützle, Thomas

Source: Evolutionary computation, 28 (2
Bezerra, L C T, López-Ibáñez, M & Stützle, T 2020, 'Automatically Designing State-of-the-Art Multi-and Many-Objective Evolutionary Algorithms', Evolutionary Computation, vol. 28, no. 2, pp. 195-226. https://doi.org/10.1162/evco_a_00263

Subject Terms: automatic algorithm design, Automation, Informatique mathématique, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, evolutionary algorithms, Biological Evolution, Algorithms, Multiobjective optimization

File Description: 1 full-text file(s): application/pdf

Access URL: https://www.mitpressjournals.org/doi/pdf/10.1162/evco_a_00263
https://pubmed.ncbi.nlm.nih.gov/31464527
https://direct.mit.edu/evco/article/28/2/195/94985/Automatically-Designing-State-of-the-Art-Multi-and
https://www.ncbi.nlm.nih.gov/pubmed/31464527
https://doi.org/10.1162/evco_a_00263
https://www.mitpressjournals.org/doi/full/10.1162/evco_a_00263
https://dblp.uni-trier.de/db/journals/ec/ec28.html#BezerraLS20
https://dl.acm.org/doi/10.1162/evco_a_00263
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/309124

A comparative study of many-objective evolutionary algorithms for the discovery of software architectures

Authors: Ramírez, Aurora Romero, José Raúl Ventura Soto, S.

Source: Ramírez, A., Romero, J. R., & Ventura, S. (2016). A comparative study of many-objective evolutionary algorithms for the discovery of software architectures. Empirical Software Engineering, 21(6), 2546-2600. https://doi.org/10.1007/s10664-015-9399-z
Helvia. Repositorio Institucional de la Universidad de Córdoba
Universidad de Córdoba

Subject Terms: Many-objective evolutionary algorithms, Software architecture discovery, Search based software engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Multi-objective evolutionary algorithms

File Description: application/pdf

Access URL: http://hdl.handle.net/10396/29115
https://hdl.handle.net/10396/29115

An ACO-based Hyper-heuristic for Sequencing Many-objective Evolutionary Algorithms that Consider Different Ways to Incorporate the DM's Preferences

Authors: Gilberto Rivera Laura Cruz-Reyes Eduardo Fernandez et al.

Source: BIRD. BCAM's Institutional Repository Data
instname

Subject Terms: Many-objective evolutionary algorithms, Preference incorporation, Outranking approach, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Ant Colony Optimization, Interval numbers

File Description: application/pdf

Access URL: http://hdl.handle.net/20.500.11824/1665

Learning-driven many-objective evolutionary algorithms for satellite-ground time synchronization task planning problem

Authors: Zhong-Shan Zhang Lining Xing Lei He et al.

Source: Swarm and Evolutionary Computation. 47:72-79

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://www.sciencedirect.com/science/article/pii/S221065021630596X
https://dblp.uni-trier.de/db/journals/swevo/swevo47.html#ZhangCHXT19
http://www.sciencedirect.com/science/article/pii/S221065021630596X

Intrusion Detection in Networks by Wasserstein Enabled Many-Objective Evolutionary Algorithms

Authors: Ponti, A Candelieri, A Giordani, I et al.

Index Terms: evolutionary algorithm, intrusion detection, multi-objective optimization, optimal sensor placement, Wasserstein distance, water distribution network, INF/01 - INFORMATICA, info:eu-repo/semantics/article

URL: https://hdl.handle.net/10281/416236
info:eu-repo/semantics/altIdentifier/wos/WOS:000996724500001
volume:11
issue:10
journal:MATHEMATICS

Two new reference vector adaptation strategies for many-objective evolutionary algorithms

Authors: Zhengping Liang Weijun Hou Xiang Huang et al.

Source: Information Sciences. 483:332-349

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

Access URL: https://www.sciencedirect.com/science/article/pii/S0020025519300465
https://dblp.uni-trier.de/db/journals/isci/isci483.html#LiangHHZ19
https://doi.org/10.1016/j.ins.2019.01.049

On the real world applications of many-objective evolutionary algorithms

Authors: Hayder H. Safi Osman N. Ucan Oguz Bayat

Source: Proceedings of the First International Conference on Data Science, E-learning and Information Systems. :1-6

Subject Terms: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dl.acm.org/citation.cfm?id=3280028

A Large-Scale Experimental Evaluation of High-Performing Multi- and Many-Objective Evolutionary Algorithms

Authors: Bezerra, Leonardo López-Ibáñez, Manuel Stützle, Thomas

Source: Bezerra, L C T, Lopez-Ibanez, M & Stützle, T 2017, 'A Large-Scale Experimental Evaluation of High-Performing Multi-and Many-Objective Evolutionary Algorithms', Evolutionary Computation. https://doi.org/10.1162/evco_a_00217

Subject Terms: Multi-objective optimization, Performance assessment, Automatic algorithm configuration, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Evolutionary algorithms, Sciences exactes et naturelles

File Description: application/pdf; No full-text files

Access URL: https://www.research.manchester.ac.uk/portal/files/61730519/BezLopStu2017assessment.pdf
https://pubmed.ncbi.nlm.nih.gov/29155605
https://research.manchester.ac.uk/en/publications/dd900608-9380-48fe-896a-7ec8180c4efa
https://doi.org/10.1162/evco_a_00217
https://pubmed.ncbi.nlm.nih.gov/29155605/
https://difusion.ulb.ac.be/vufind/Record/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/283598/Details
https://www.mitpressjournals.org/doi/full/10.1162/evco_a_00217
https://core.ac.uk/display/132156078
https://www.ncbi.nlm.nih.gov/pubmed/29155605
https://dblp.uni-trier.de/db/journals/ec/ec26.html#BezerraLS18
https://research.manchester.ac.uk/en/publications/dd900608-9380-48fe-896a-7ec8180c4efa
https://doi.org/10.1162/evco_a_00217
https://pure.manchester.ac.uk/ws/files/61730519/BezLopStu2017assessment.pdf