Suchergebnisse - Multi-objective constrained optimization problem

Efficient implicit constraint handling approaches for constrained optimization problems

Autoren: Iman Rahimi Amir H. Gandomi Mohammad Reza Nikoo et al.

Quelle: Scientific Reports, Vol 14, Iss 1, Pp 1-39 (2024)

Schlagwörter: Constraint handling, Multi-objective optimization, Evolutionary algorithm, Boundary updating, Switching point, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/e6894bc5af84491eb507e9ba93b2b863

Solving Bipolar Max-Tp Equation Constrained Multi-Objective Optimization Problems

Autoren: Cheng-Kai Hu Fung-Bao Liu Cheng-Feng Hu

Quelle: International Journal on Soft Computing. 7:11-23

Schlagwörter: Bipolar constraints, Fuzzy relational equations, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Fuzzy optimization

Zugangs-URL: http://aircconline.com/ijsc/V7N4/7416ijsc02.pdf
https://aircconline.com/ijsc/V7N4/7416ijsc02.pdf

Corridor Allocation as a Constrained Optimization Problem Using a Permutation-Based Multi-objective Genetic Algorithm

Autoren: Dilip Datta Zahnupriya Kalita

Quelle: Modeling and Optimization in Science and Technologies ISBN: 9783030264574

Zugangs-URL: https://link.springer.com/chapter/10.1007/978-3-030-26458-1_19

Risk-averse constrained blackbox optimization under mixed aleatory/epistemic uncertainties

Autoren: Charles Audet Jean Bigeon Romain Couderc et al.

Quelle: Computational Optimization and Applications.

Schlagwörter: Advanced Multi-Objective Optimization Algorithms, Computational Theory and Mathematics, 90C56 90C15 60H30 49J55, Optimization and Control (math.OC), Statistics, Risk and Portfolio Optimization, FOS: Mathematics, Probability and Uncertainty, Probabilistic and Robust Engineering Design, Management Science and Operations Research, Mathematics - Optimization and Control

Zugangs-URL: http://arxiv.org/abs/2310.11380

From Multi-Objective Constrained to One-Objective Constrained Optimization Problem

Autoren: Moussaoui, Mohammed Lamine

Efficient implicit constraint handling approaches for constrained optimization problems.

Autoren: Rahimi, I Gandomi, AH Nikoo, MR et al.

Index Begriffe: Journal Article

URL: http://hdl.handle.net/10453/179918
Sci Rep
10.1038/s41598-024-54841-z

SOLVING BIPOLAR MAX-TP EQUATION CONSTRAINED MULTI-OBJECTIVE OPTIMIZATION PROBLEMS

Autoren: Hu1, Cheng-Kai

Schlagwörter: Fuzzy relational equations, Bipolar constraints, Fuzzy optimization

A new multi objective crested porcupines optimization algorithm for solving optimization problems.

Autoren: Adalja D Patel P Mashru N et al.

Quelle: Scientific reports [Sci Rep] 2025 Apr 24; Vol. 15 (1), pp. 14380. Date of Electronic Publication: 2025 Apr 24.

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

Dynamic constrained multi-objective model for solving constrained optimization problem

Autoren: Sanyou Zeng Zhengjun Li Hongyong Jing et al.

Quelle: 2011 IEEE Congress of Evolutionary Computation (CEC). :2041-2046

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

Zugangs-URL: http://ieeexplore.ieee.org/xpl/abstractAuthors.jsp?reload=true&arnumber=5949866
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005949866
https://ieeexplore.ieee.org/document/5949866/
https://dblp.uni-trier.de/db/conf/cec/cec2011.html#ZengCZZLJ11

Adaptive constrained multi-objective differential evolution algorithm for vehicle routing problem considering crowdsourcing delivery.

Autoren: Hou, Ying Shen, Yanjie Han, Honggui et al.

Quelle: Applied Soft Computing. Jan2025, Vol. 169, pN.PAG-N.PAG. 1p.

Schlagwörter: Vehicle routing problem, Multi-objective optimization, Constrained optimization, Routing algorithms, Crowdsourcing, Differential evolution

Dynamic multi-objective differential evolution for solving constrained optimization problem

Autoren: Lina Jia Sanyou Zeng Zhengjun Li et al.

Quelle: 2011 IEEE Congress of Evolutionary Computation (CEC). :2649-2654

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://dblp.uni-trier.de/db/conf/cec/cec2011.html#JiaZZZLJ11
https://ieeexplore.ieee.org/document/5949949/
http://ieeexplore.ieee.org/document/5949949/
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005949949

Multi-objective particle swarm optimization algorithm for engineering constrained optimization problems

Autoren: Dekun Tan Qing Liu Wenhai Luo

Quelle: 2009 IEEE International Conference on Granular Computing. :523-528

Schlagwörter: 0203 mechanical engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://dblp.uni-trier.de/db/conf/grc/grc2009.html#TanLL09
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005255064
https://ieeexplore.ieee.org/document/5255064/

Blessings of maintaining infeasible solutions for constrained multi-objective optimization problems

Autoren: Amitay Isaacs Tapabrata Ray Warren F. Smith

Quelle: 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence). :2780-2787

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Solving Bipolar Max-Tp Equation Constrained Multi-Objective Optimization Problems

Autoren: Cheng-Kai Hu Fung-Bao Liu Cheng-Feng Hu

Schlagwörter: Fuzzy relational equations, Bipolar constraints, Fuzzy optimization

Relation: https://zenodo.org/records/5084681; oai:zenodo.org:5084681; https://doi.org/10.5281/zenodo.5084681

Verfügbarkeit: https://doi.org/10.5281/zenodo.5084681
https://zenodo.org/records/5084681

Research on Layout Optimization of Robot Packaging Production Line Based on NSGA-II Algorithm.

Autoren: Tian, Yuan Fan, Heng

Quelle: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 20, p11019, 19p

Schlagwörter: MULTI-objective optimization, EVOLUTIONARY algorithms, STRUCTURAL optimization, PACKAGING machinery, ENERGY consumption, MECHANICAL efficiency, INDUSTRIAL robots, ELECTRONIC equipment

Efficient implicit constraint handling approaches for constrained optimization problems.

Autoren: Rahimi, Iman Gandomi, Amir H. Nikoo, Mohammad Reza et al.

Quelle: Scientific Reports; 2/27/2024, Vol. 14 Issue 1, p1-39, 39p

Schlagwörter: CONSTRAINED optimization, OPTIMIZATION algorithms, EVOLUTIONARY algorithms, BENCHMARK problems (Computer science), RESEARCH personnel

New Multi-objective Genetic Algorithm for Nonlinear Constrained Optimization Problems

Autoren: Chun-an Liu

Quelle: 2007 IEEE International Conference on Automation and Logistics. :118-120

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

Zugangs-URL: http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004338541
https://ieeexplore.ieee.org/document/4338541/

Feasible regions identification based on historical solutions for constrained optimization problems

Autoren: Shan, Mengli Li, Changhe Liu, Xiaobo et al.

Schlagwörter: Constrained optimization problem, Multiobjective optimization, Region partitioning

Dateibeschreibung: application/pdf

Relation: Shan, M., Li, C., Liu, X., Peng, M., Mavrovouniotis, M. and Yang, S. (2025) Feasible regions identification based on historical solutions for constrained optimization problems. Proceedings of the 2025 IEEE Congress on Evolutionary Computation; https://hdl.handle.net/2086/25295; https://doi.org/10.1109/CEC65147.2025.11043100

Verfügbarkeit: https://hdl.handle.net/2086/25295
https://doi.org/10.1109/CEC65147.2025.11043100

A generalized conditional gradient method for multiobjective composite optimization problems.

Autoren: Assunção, P. B. Ferreira, O. P. Prudente, L. F.

Quelle: Optimization. Feb2025, Vol. 74 Issue 2, p473-503. 31p.

Schlagwörter: *MULTI-objective optimization, *SMOOTHNESS of functions

Handling the complexities of the multi-constrained portfolio optimization problem with the support of a novel MOEA

Autoren: Liagkouras, K. Metaxiotis, K.

Quelle: The Journal of the Operational Research Society, 2018 Oct 01. 69(10), 1609-1627.

Zugangs-URL: https://www.jstor.org/stable/48772796