Suchergebnisse - interactive evolutionary multi-objective optimization algorithm

Interactive evolutionary multi-objective optimization algorithms : development, improvements, benchmarking and analysis of performance

Autoren: Shavarani, Seyed Mahdi Allmendinger, Richard Lopez-Ibanez, Manuel

Weitere Verfasser: Shavarani, Seyed Mahdi Allmendinger, Richard Lopez-Ibanez, Manuel

Schlagwörter: Dimension Reduction, Operations Research, Support Vector Machines, Optimization Algorithms, Analysis of Performance, Evolutionary Computation, Hidden Objectives, Sigmoid Utility Functions, Design of Experiments, Irrelevant Objectives, Performance assessment, Interactive Evolutionary Multi-Objective Optimization Algorithm, Machine Learning, Decision Tree, Benchmarking, Feature Selection, Machine Decision-Maker, Preference Learning, Feature Elimination

Zugangs-URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.878809

Design and Optimization of a Gymnasium Roof Using an Interactive Evolutionary Algorithm: Combining Structural and Aesthetic Criteria

Autoren: Mahmoud Firouzi

Quelle: اکولوژی انسانی, Vol 4, Iss 11, Pp 1070-1088 (2025)

Schlagwörter: form generation, interactive evolutionary optimization, algorithmic design, geometric proportions, long-span truss roof, Human ecology. Anthropogeography, GF1-900

Dateibeschreibung: electronic resource

Relation: https://www.landscapeecologyjournals.ir/article_228925_6db277e7604590eb55f9724cee750677.pdf; https://doaj.org/toc/3041-9255

Zugangs-URL: https://doaj.org/article/cdd4cbf262c84d03b789f061cfbcf84c

An Interactive Knowledge-based Multi-objective Evolutionary Algorithm Framework for Practical Optimization Problems

Autoren: Ghosh, Abhiroop Deb, Kalyanmoy Goodman, Erik et al.

Index Begriffe: Computer Science - Neural and Evolutionary Computing, text

URL: http://arxiv.org/abs/2209.08604

Dynamic Detection of Relevant Objectives and Adaptation to Preference Drifts in Interactive Evolutionary Multi-Objective Optimization

Autoren: Shavarani, Seyed Mahdi Golabi, Mahmoud Allmendinger, Richard et al.

Index Begriffe: Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing, Mathematics - Optimization and Control, text

URL: http://arxiv.org/abs/2411.04547

Interactive Multi-Objective Evolutionary Optimization of Software Architectures

Autoren: Ramírez, Aurora Romero, José Raúl Ventura, Sebastián

Index Begriffe: Computer Science - Software Engineering, Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing, 68, D.2.11, F.2.2, text

URL: http://arxiv.org/abs/2401.04192

An interactive evolutionary multi-objective optimization algorithm with a limited number of decision maker calls

Autoren: Sinha, Ankur Korhonen, Pekka Wallenius, Jyrki et al.

Quelle: European Journal of Operational Research. 233:674-688

Schlagwörter: ta113, ta112, 13. Climate action, 0502 economics and business, 05 social sciences, ta111, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, ta512

Zugangs-URL: http://juuli.fi/Record/0338085114
https://doi.org/10.1016/j.ejor.2013.08.046
http://juuli.fi/Record/0355467714
https://doi.org/10.1016/j.ejor.2013.08.046
http://juuli.fi/Record/0030234114

Empirical Studies on the Role of the Decision Maker in Interactive Evolutionary Multi-Objective Optimization

Autoren: Ke Li Guiyu Lai Minhui Liao

Quelle: 2021 IEEE Congress on Evolutionary Computation (CEC). :185-192

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences

Zugangs-URL: https://dblp.uni-trier.de/db/conf/cec/cec2021.html#LaiL021

Interactive Reference Region Based Multi-Objective Evolutionary Algorithm Through Decomposition

Autoren: Ruochen Liu Ruinan Wang Wen Feng et al.

Quelle: IEEE Access, Vol 4, Pp 7331-7346 (2016)

Schlagwörter: Interactive preference, multi-objective optimization problem, reference region selection mechanism, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/7562397/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/d4ab77a19705494b844c4c1a3ddafbb0

Interactive Evolutionary Multi-Objective Optimization via Learning-to-Rank

Autoren: Li, Ke Lai, Guiyu Yao, Xin

Index Begriffe: Computer Science - Neural and Evolutionary Computing, text

URL: http://arxiv.org/abs/2204.02604

Incorporating domain expertise into evolutionary algorithm optimisation of water distribution systems

Autoren: Johns, Matthew Barrie Keedwell, Edward Dragan, Savic

Weitere Verfasser: Johns, Matthew Barrie Keedwell, Edward Dragan, Savic

Schlagwörter: 519.6, Evolutionary Algorithm, Visualisation, Optimisation, Water Distribution, Hybrid Genetic Algorithm, Multi Objective Optimisation

Zugangs-URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.716766

Interactive multiobjective evolutionary optimization model for dam management support.

Autoren: Castiglione, Federico Corrente, Salvatore Greco, Salvatore et al.

Quelle: Journal of Hydrology. Feb2025, Vol. 647, pN.PAG-N.PAG. 1p.

Schlagwörter: *MULTI-objective optimization, *FLOOD control, *OPTIMIZATION algorithms, *MULTIPLE criteria decision making, *INDUSTRIAL efficiency

Interactive evolutionary multi-objective optimization and decision-making on life-cycle seismic design of bridge

Autoren: Yu-Jing Li Hong-Nan Li

Quelle: Advances in Structural Engineering. 21:2227-2240

Schlagwörter: 11. Sustainability, 02 engineering and technology, 0201 civil engineering

Zugangs-URL: https://journals.sagepub.com/doi/abs/10.1177/1369433218770819
http://journals.sagepub.com/doi/full/10.1177/1369433218770819

InDM2: Interactive Dynamic Multi-Objective Decision Making Using Evolutionary Algorithms.

Autoren: Nebro, Antonio J. Ruiz, Ana B. Barba-González, Cristóbal et al.

Quelle: Swarm & Evolutionary Computation. Jun2018, Vol. 40, p184-195. 12p.

Schlagwörter: Evolutionary algorithms, Multiple criteria decision making, Mathematical optimization, Decision making, Algebra

InDM2: Interactive Dynamic Multi-Objective Decision Making Using Evolutionary Algorithms

Autoren: Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial Ministerio de Ciencia e Innovación (MICIN). España Junta de Andalucía et al.

Index Begriffe: Dynamic multi-objective optimization, Multiple criteria decision making, Preferences, Evolutionary algorithms, jMetalSP, info:eu-repo/semantics/article

URL: https://www.sciencedirect.com/science/article/pii/S2210650217304728
Swarm and Evolutionary Computation, 40 (June 2018), 184-195.
TIN2017-86049-R
TIN2014- 58304
ECO2014-56397-P
P11-TIC-7529
P12-TIC-1519
https://www.sciencedirect.com/science/article/pii/S2210650217304728

Progressively interactive evolutionary multi-objective optimization method using generalized polynomial value functions

Autoren: Jyrki Wallenius Kalyanmoy Deb Ankur Sinha et al.

Quelle: IEEE Congress on Evolutionary Computation. :1-8

Zugangs-URL: http://ieeexplore.ieee.org/document/5586278/
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005586278
https://dblp.uni-trier.de/db/conf/cec/cec2010.html#SinhaDKW10
https://ieeexplore.ieee.org/document/5586278/
http://dblp.uni-trier.de/db/conf/cec/cec2010.html#SinhaDKW10

Interactive Multifactorial Evolutionary Optimization Algorithm with Multidimensional Preference Surrogate Models for Personalized Recommendation.

Autoren: Wu, Weidong Sun, Xiaoyan Man, Guangyi et al.

Quelle: Applied Sciences (2076-3417); Feb2023, Vol. 13 Issue 4, p2243, 23p

Schlagwörter: RECOMMENDER systems, MATHEMATICAL optimization, EVOLUTIONARY algorithms, TIME management

Collective intelligence approaches in interactive evolutionary multi-objective optimization.

Autoren: Cinalli, Daniel Martí, Luis Sanchez-Pi, Nayat et al.

Quelle: Logic Journal of the IGPL. Feb2020, Vol. 28 Issue 1, p95-108. 14p.

Schlagwörter: *MATHEMATICAL optimization, *PROCESS optimization, *KEY performance indicators (Management), SWARM intelligence

High-dimensional interactive adaptive RVEA for multi-objective optimization of polyester polymerization process.

Autoren: Zhu, Xiuli Jiang, Chunli Hao, Kuangrong et al.

Quelle: Information Sciences. Dec2023, Vol. 650, pN.PAG-N.PAG. 1p.

Schlagwörter: *POLYESTER industry, OPTIMIZATION algorithms, POLYESTERS, POLYMERIZATION, BENCHMARK problems (Computer science), MEMETICS

Interactive co-evolutionary multiple objective optimization algorithms for finding consensus solutions for a group of Decision Makers.

Autoren: Tomczyk, Michał K. Kadziński, Miłosz

Quelle: Information Sciences. Nov2022, Vol. 616, p157-181. 25p.

Schlagwörter: *MATHEMATICAL optimization, *GROUP decision making, *STATISTICAL decision making, *MULTIPLE criteria decision making, *SUPPLY chains, COEVOLUTION

A Preference-Based Evolutionary Algorithm for Multi-Objective Optimization

Autoren: Thiele, Lothar Miettinen, Kaisa Korhonen, Pekka J. et al.

Quelle: Evolutionary Computation. 17(3):411-436

Schlagwörter: Multiple objectives, multiple criteria decision making, preference information, reference point, achievement scalarizing function, Pareto optimality, fitness evaluation

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-82890