Suchergebnisse - Multi-Objective Extended Genetic Programming algorithm

Continuous Cartesian Genetic Programming based representation for Multi-Objective Neural Architecture Search

Autoren: Garcia-Garcia, Cosijopii Morales-Reyes, Alicia Escalante, Hugo Jair

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

URL: http://arxiv.org/abs/2306.02648

Multi-objective fuzzy modeling of project scheduling with limitations of multi-skilled resources able to change skill levels and interrupt activities

Autoren: Mojtaba Salehi Efat Jabarpoor

Quelle: International Journal of Industrial Engineering and Production Research, Vol 32, Iss 3, Pp 1-16 (2021)

Schlagwörter: project scheduling, multi skilled resources, goal programming, multi-objective genetic algorithm, multi-objective cuckoo search, Technology

Dateibeschreibung: electronic resource

Relation: http://ijiepr.iust.ac.ir/article-1-958-en.html; https://doaj.org/toc/2008-4889; https://doaj.org/toc/2345-363X

Zugangs-URL: https://doaj.org/article/9b1ac326e6c448c59e7748fde44da9d1

Multi-Objective Optimization for Mixed-Integer Programming Problems through Extending Hybrid Genetic Algorithm with Niche Method

Autoren: Yoshiaki SHIMIZU

Quelle: Transactions of the Society of Instrument and Control Engineers. 1999, 35(7):951

Multi-objective optimization of manufacturing cell design.

Autoren: Dimopoulos, C.

Quelle: International Journal of Production Research; 11/15/2006, Vol. 44 Issue 22, p4855-4875, 21p

Schlagwörter: MANUFACTURED products, MANUFACTURING cells, BUSINESS enterprises, MANUFACTURING processes, EVOLUTIONARY computation, METHODOLOGY, ALGORITHMS, GENETIC algorithms, GENETICS, GENETIC programming, MATHEMATICAL programming, DECISION making, MATHEMATICAL optimization, LITERATURE

New improved hybrid genetic algorithm for optimizing facility layout design of reconfigurable manufacturing system.

Autoren: Wei X Sun J Jiao H

Quelle: Scientific reports [Sci Rep] 2025 Jul 01; Vol. 15 (1), pp. 21416. Date of Electronic Publication: 2025 Jul 01.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

Shape-constrained multi-objective genetic programming for symbolic regression.

Autoren: Haider, C. de Franca, F.O. Burlacu, B. et al.

Quelle: Applied Soft Computing. Jan2023, Vol. 132, pN.PAG-N.PAG. 1p.

Schlagwörter: Genetic programming, Electronic textbooks, Evolutionary algorithms, Genetic algorithms, Constraint algorithms, Algorithms, Prior learning

The development of a sub-population genetic algorithm II (SPGA II) for multi-objective combinatorial problems

Autoren: Chang, Pei-Chann Chen, Shih-Hsin

Quelle: Applied Soft Computing. Jan2009, Vol. 9 Issue 1, p173-181. 9p.

Schlagwörter: Algorithms, Genetic programming, Computer programming, Genetic algorithms

Analysis of the use of repulsors to improve generalization ability in genetic programming : an application to symbolic regression problems

Autoren: Canelhas, Jorge Miguel Silvestre Vanneschi, Leonardo RUN

Weitere Verfasser: Canelhas, Jorge Miguel Silvestre Vanneschi, Leonardo RUN

Schlagwörter: Genetic algorithm, Genetic programming, Machine learning, Repulsor, Overfitting, Symbolic regression

Dateibeschreibung: application/pdf

Verfügbarkeit: http://hdl.handle.net/10362/28931

Tri-objective hybrid genetic programming for transparent and effective entity matching via optimized similarity measure combination.

Autoren: Gao, Fan Luo, Bing Yang, Ya-Juan

Quelle: Memetic Computing; Sep2025, Vol. 17 Issue 3, p1-18, 18p

Biopharmaceutical scheduling using a flexible genetic algorithm approach

Autoren: Jankauskas, Karolis

Schlagwörter: 660.6

Zugangs-URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.779280

Multi-objective genetic programming for feature extraction and data visualization.

Autoren: Cano, Alberto Ventura, Sebastián Cios, Krzysztof

Quelle: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Apr2017, Vol. 21 Issue 8, p2069-2089, 21p

Schlagwörter: GENETIC programming, DATA visualization, FEATURE extraction, DATA mining, DATA modeling, ELECTRONIC data processing

Genetic Algorithms and Genetic Programming : Modern Concepts and Practical Applications

Autoren: Michael Affenzeller Stefan Wagner Stephan Winkler et al.

Resource Type: eBook.

Schlagworte: Programming (Mathematics), Evolutionary computation, Algorithms, Combinatorial optimization, Computer algorithms

Categories: COMPUTERS / Programming / Games, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Programming / Algorithms, MATHEMATICS / Number Systems

On the Dynamics of Mating Preferences in Genetic Programming.

Autoren: Simões, José Maria Lourenço, Nuno Machado, Penousal

Quelle: Memetic Computing; Jun2025, Vol. 17 Issue 2, p1-18, 18p

Large‐Scale Drought Forecasting in the U.S. Southern Plains Through a Hybrid Cluster‐Based Wavelet‐Machine Learning Approach.

Autoren: Lee, SangHyun Danandeh Mehr, Ali Moriasi, Daniel et al.

Quelle: Water Resources Research; Nov2025, Vol. 61 Issue 11, p1-23, 23p

Schlagwörter: DROUGHT forecasting, MACHINE learning, WAVELET transforms, CLIMATE change adaptation, HYDROLOGIC models, PLAINS, SPATIAL variation, EVAPOTRANSPIRATION

Automated design of state transition rules in ant colony optimization by genetic programming: a comprehensive investigation.

Autoren: Lin, Bo-Cheng Mei, Yi Zhang, Mengjie

Quelle: Memetic Computing; Mar2025, Vol. 17 Issue 1, p1-22, 22p

Genetic Programming : 20th European Conference, EuroGP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings

Autoren: James McDermott Mauro Castelli Lukas Sekanina et al.

Resource Type: eBook.

Schlagworte: Algorithms, Computer science, Artificial intelligence, Application software, Computer science—Mathematics, Discrete mathematics

Categories: COMPUTERS / Programming / Algorithms, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Computer Science, MATHEMATICS / Discrete Mathematics

Multi-objective linear programming revisited : exact and approximate approaches

Autoren: Nyiam, Paschal Bisong

Schlagwörter: 519.6, QA Mathematics

Zugangs-URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.768532

Pymoo: Multi-Objective Optimization in Python

Autoren: Julian Blank Kalyanmoy Deb

Quelle: IEEE Access, Vol 8, Pp 89497-89509 (2020)

Schlagwörter: Customization, genetic algorithm, multi-objective optimization, python, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/9078759/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/ecf4c4ba21044cd18dbacc88819ea5f3

A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules.

Autoren: Nguyen, Su Mei, Yi Xue, Bing et al.

Quelle: Evolutionary Computation; Fall2019, Vol. 27 Issue 3, p467-496, 30p

Schlagwörter: GENETIC programming, GENETIC algorithms, PRODUCTION scheduling, HEURISTIC, DYNAMIC programming

A Mathematical Model and a Firefly Algorithm for an Extended Flexible Job Shop Problem with Availability Constraints

Autoren: Tessaro Lunardi, Willian Cherri, Luiz Henrique Voos, Holger

Index Begriffe: Firefly algorithm, Flexible job-shop scheduling, Metaheuristics, Mixed integer linear programming, availability constraints, info:eu-repo/semantics/conferenceObject

URL: http://orbilu.uni.lu/handle/10993/35470
http://orbilu.uni.lu/bitstream/10993/35470/1/2018_ICAISC.pdf