Výsledky vyhľadávania - interactive (evolutionary OR evolution) multi-objective optimization algorithm

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

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

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

Predmety: 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

Prístupová URL adresa: 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

Autori: Mahmoud Firouzi

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

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

Popis súboru: electronic resource

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

Prístupová URL adresa: https://doaj.org/article/cdd4cbf262c84d03b789f061cfbcf84c

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

Autori: Ghosh, Abhiroop Deb, Kalyanmoy Goodman, Erik a ďalší

Témy: Computer Science - Neural and Evolutionary Computing, text

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

Incorporating domain expertise into evolutionary algorithm optimisation of water distribution systems

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

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

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

Prístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.716766

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

Autori: Shavarani, Seyed Mahdi Golabi, Mahmoud Allmendinger, Richard a ďalší

Témy: 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

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

Témy: 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

Autori: Sinha, Ankur Korhonen, Pekka Wallenius, Jyrki a ďalší

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

Predmety: ta113, multiple criteria decision-making, ta112, interactive multi-objective optimization, 05 social sciences, ta111, 0211 other engineering and technologies, 02 engineering and technology, Approximation methods and heuristics in mathematical programming, 13. Climate action, evolutionary multi-objective optimization, 0502 economics and business, 0202 electrical engineering, electronic engineering, information engineering, ta512, Multi-objective and goal programming

Popis súboru: application/xml

Prístupová URL adresa: 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

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

Autori: Wu, Weidong Sun, Xiaoyan Man, Guangyi a ďalší

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

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

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

Autori: Guiyu Lai Minhui Liao Ke Li

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

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

Interactive Reference Region Based Multi-Objective Evolutionary Algorithm Through Decomposition

Autori: Ruochen Liu Ruinan Wang Wen Feng a ďalší

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

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

Popis súboru: electronic resource

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

Prístupová URL adresa: https://doaj.org/article/d4ab77a19705494b844c4c1a3ddafbb0

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

Autori: Li, Ke Lai, Guiyu Yao, Xin

Témy: Computer Science - Neural and Evolutionary Computing, text

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

Interactive multiobjective evolutionary optimization model for dam management support.

Autori: Castiglione, Federico Corrente, Salvatore Greco, Salvatore a ďalší

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

Predmety: *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

Autori: Yu-Jing Li Hong-Nan Li

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

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

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

Autori: Nebro, Antonio J. Ruiz, Ana B. Barba-González, Cristóbal a ďalší

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

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

Data on Electronics Detailed by Researchers at Jiangnan University (An Interactive Evolutionary Design Framework Integrating Ahp-critic Hybrid Weighting for Mitigating User Evaluation Noise).

Zdroj: Genomics & Genetics Weekly; 2/20/2026, p327-327, 1p

Predmety: GENETIC algorithms, MULTIPLE criteria decision making, GENETIC programming, ELECTRONIC equipment design, ARTIFICIAL intelligence, MULTI-objective optimization

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

Autori: Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial Ministerio de Ciencia e Innovación (MICIN). España Junta de Andalucía a ďalší

Témy: 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

Implementing a dung beetle optimization algorithm enhanced with multi-strategy fusion techniques.

Autori: Xiaojie Zhou Majahar Ali, Majid Khan Bin Abdullah, Farah Aini a ďalší

Zdroj: Journal of Nigerian Society of Physical Sciences; May2025, Vol. 7 Issue 2, p1-24, 24p

Predmety: METAHEURISTIC algorithms, OPTIMIZATION algorithms, ROBUST optimization, K-means clustering

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

Autori: Ankur Sinha Kalyanmoy Deb Pekka Korhonen a ďalší

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

Machine Learning-Driven Precision Nutrition: A Paradigm Evolution in Dietary Assessment and Intervention.

Autori: Quan, Wenbin Zhou, Jingbo Wang, Juan a ďalší

Zdroj: Nutrients. Jan2026, Vol. 18 Issue 1, p45. 27p.

A Preference-Based Evolutionary Algorithm for Multi-Objective Optimization

Autori: Thiele, Lothar Miettinen, Kaisa Korhonen, Pekka J. a ďalší

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

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

Popis súboru: print

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