Výsledky vyhledávání - Constrained Multi-objective Optimisation problem

A Learnheuristic Approach to A Constrained Multi-Objective Portfolio Optimisation Problem

Autoři: Sonia Bullah Terence L. van Zyl

Zdroj: Proceedings of the 2023 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence. :58-65

Témata: Computational Engineering, Finance, and Science (cs.CE), FOS: Computer and information sciences, Computer Science - Machine Learning, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Computer Science - Computational Engineering, Finance, and Science, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2304.06675

A study on SAT constrained problems and large-scale binary multi-objective optimization (充足可能性制約付き問題と大規模バイナリ多目的最適化に関する研究)

Autoři: HONJO, IDE FELIPE

Popis souboru: application/pdf

Přístupová URL adresa: https://ndlsearch.ndl.go.jp/books/R100000039-I14437083

Degree: 博士（工学） -- 信州大学, Shinshu University

A Comparative Study of Recent Multi-objective Metaheuristics for Solving Constrained Truss Optimisation Problems

Autoři: Panagant, N Pholdee, N Bureerat, S a další

Zdroj: Archives of Computational Methods in Engineering. 28:4031-4047

Témata: Engineering, 0203 mechanical engineering, 0202 electrical engineering, electronic engineering, information engineering, Mathematical sciences, 02 engineering and technology

Přístupová URL adresa: https://avesis.uludag.edu.tr/yayin/9ffb5a57-6d1f-452e-bf53-7106fbd3c0ce/a-comparative-study-of-recent-multi-objective-metaheuristics-for-solving-constrained-truss-optimisation-problems
https://research.torrens.edu.au/en/publications/a-comparative-study-of-recent-multi-objective-metaheuristics-for-
https://research-repository.griffith.edu.au/handle/10072/402128
https://link.springer.com/article/10.1007/s11831-021-09531-8
https://avesis.uludag.edu.tr/publication/details/9ffb5a57-6d1f-452e-bf53-7106fbd3c0ce/oai

A Learnheuristic Approach to A Constrained Multi-Objective Portfolio Optimisation Problem

Autoři: Bullah, Sonia van Zyl, Terence L.

Témata: Computer Science - Machine Learning, Computer Science - Computational Engineering, Finance, and Science, text

URL: http://arxiv.org/abs/2304.06675

Evolutionary Multi-Objective Optimization for Maritime Tourism Resource Allocation: A Maritime Tourism Case Study Comparing Custom GA and NSGA-II Implementations

Autoři: Quintas, José Miguel Rodrigues Vanneschi, Leonardo RUN

Přispěvatelé: Quintas, José Miguel Rodrigues Vanneschi, Leonardo RUN

Témata: maritime tourism, resource allocation, genetic algorithms, NSGA-II, multi-objective optimization, single-objective optimization, evolutionary algorithms, metaheuristics, combinatorial optimization, constraint satisfaction, multi-skilled resource-constrained project scheduling, Design Science Research Methodology, comparative analysis, statistical validation, operations research, scheduling optimization, Pareto optimization, weighted sum aggregation, domain-specific genetic operators, constraint handling, tour planning, guide assignment, vessel allocation, skipper scheduling, tourism operations, service optimization, operational efficiency, revenue optimization, real-world optimization, empirical evaluation, performance comparison, computational efficiency, solution quality, feasibility analysis, crowding distance, diversity maintenance, population-based optimization, stochastic optimization, optimization algorithms, resource utilization, capacity constraints, language compatibility, multilingual services, operational research, applied optimization, algorithmic comparison, strategic planning, emergency response, decision support systems, SDG 8 - Decent work and economic growth, SDG 9 - Industry, innovation and infrastructure, SDG 12 - Responsible production and consumption, SDG 14 - Life below water, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

Popis souboru: application/pdf

Dostupnost: http://hdl.handle.net/10362/190414

Inflationary Differential Evolution for Constrained Multi-objective Optimisation Problems

Autoři: Gianluca Filippi Massimiliano Vasile Filipič, Bogdan a další

Přispěvatelé: Gianluca Filippi Massimiliano Vasile Filipič, Bogdan a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783030637095
Bioinspired Optimization Methods and Their Applications-9th International Conference, BIOMA 2020, Brussels, Belgium, November 19–20, 2020, Proceedings
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Bioinspired Optimization Methods and Their Applications

Témata: QA75, Electronic computers. Computer science

Popis souboru: application/pdf; text

Přístupová URL adresa: https://strathprints.strath.ac.uk/75552/1/Filippi_etal_BIOMA2020_Inflationary_differential_evolution_Constrained_Multi_Objective_Optimisation_Problems.pdf

Integrated optimisation of operations and financing for large-scale multi-period multi-product capital-constrained supply chains.

Autoři: Cheng, Junheng Lin, Yanhong Cheng, Jingya a další

Zdroj: International Journal of Production Research; Aug2025, Vol. 63 Issue 15, p5838-5862, 25p

Témata: SUPPLY chains, MIXED integer linear programming, BUDGET, HEURISTIC, INVESTMENT policy, PROCESS optimization

A novel Kriging-assisted multi-objective optimisation method considering infeasibility ratio under input uncertainty

Autoři: Wei, Hua Zhou, Qi Dhaene, Tom a další

Zdroj: JOURNAL OF ENGINEERING DESIGN

Témata: EFFICIENT GLOBAL OPTIMIZATION, Technology and Engineering, constraint handling strategy, input uncertainty, Multi-objective optimisation, sequential sampling, Kriging model, GENETIC ALGORITHM

Popis souboru: application/pdf

Přístupová URL adresa: http://doi.org/10.1080/09544828.2025.2450763
https://biblio.ugent.be/publication/01JJ1JTNSJDWAF5R7YC1D5994R/file/01JJ1JW3PK04WPGSD8DXR00RSF
https://biblio.ugent.be/publication/01JJ1JTNSJDWAF5R7YC1D5994R
http://hdl.handle.net/1854/LU-01JJ1JTNSJDWAF5R7YC1D5994R

Systems for solving general and user preference-based constrained multi-objective optimization problems

A multi-objective optimisation algorithm for a drilling trajectory constrained to wellbore stability.

Autoři: Huang, Wendi Wu, Min Hu, Jie a další

Zdroj: International Journal of Systems Science. Jan 2022, Vol. 53 Issue 1, p154-167. 14p.

Témata: *MATHEMATICAL optimization, *MUD, *PROBLEM solving, *HORIZONTAL wells, *OIL wells

Methods to Find Best Designs Among Infeasible Design Data Sets for Highly Constrained Design Optimization Problems

Autoři: Elango, Adarsh Viji Xue, Zhendan Gokhale, Apurva a další

Zdroj: SAE International Journal of Materials and Manufacturing, 2016 May 01. 9(2), 378-386.

Přístupová URL adresa: https://www.jstor.org/stable/26267451

Multi-objective Windy Postman Problem in a Fuzzy Transportation Network

Autoři: PAL, Debosree SHARMA, Haresh Kumar PRENTKOVSKIS, Olegas a další

Zdroj: Promet (Zagreb), Vol 37, Iss 4, Pp 853-873 (2025)
Promet-Traffic&Transportation
CODEN POMEEZ
Volume 37
Issue 4

Témata: transportation, Transportation engineering, TA1001-1280, windy postman problem, epsilon constraint method, performance metrics, multi-objective genetic algorithms

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/c975a3ac029842e0a690df5b13103dbc

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

Autoři: Liagkouras, K. Metaxiotis, K.

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

Přístupová URL adresa: https://www.jstor.org/stable/48772796

Optimization of Constrained Multi-objective Reliability Problems with Interval Valued Reliability of Components via Genetic Algorithm

Autoři: Bhunia, Asoke Kumar Sahoo, Laxminarayan

Zdroj: Indian Journal of Industrial and Applied Mathematics 3(1s):25-44. 2012

SYSTEMS FOR SOLVING GENERAL AND USER PREFERENCE-BASED CONSTRAINED MULTI-OBJECTIVE OPTIMIZATION PROBLEMS

Enhanced optimisation of MPLS network traffic using a novel adjustable Bat algorithm with loudness optimizer

Autoři: Mohsin Masood Mohamed Mostafa Fouad Rashid Kamal a další

Zdroj: Results in Engineering, Vol 26, Iss , Pp 104774- (2025)

Témata: Nature-inspired metaheuristic algorithms, Optimization, Multi-protocol-label-switched (MPLS) networks, Multiple-constrained-based multi objective optimization (MOO), Technology

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123025008515; https://doaj.org/toc/2590-1230

Přístupová URL adresa: https://doaj.org/article/868d388b8e1b4dac9ed4bceb88a118be

MOSRS: An engineering multi-objective optimization through Einsteinian concept

Autoři: Goodarzimehr, Vahid Pereira, João Luiz Junho Khodadadi, Nima

Zdroj: PLOS ONE. 20(7)

Témata: 46 Information and Computing Sciences (for-2020), 4602 Artificial Intelligence (for-2020), Bioengineering (rcdc), Algorithms (mesh), Engineering (mesh), Models, Theoretical (mesh), Algorithms (mesh), Models, Theoretical (mesh), Engineering (mesh), Algorithms (mesh), Engineering (mesh), Models, Theoretical (mesh), General Science & Technology (science-metrix)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/2h94h756
https://escholarship.org/content/qt2h94h756/qt2h94h756.pdf

Solving multiobjective engineering design problems through a Scalarized Augmented Lagrangian Algorithm (SCAL)

Autoři: Costa, Lino Espírito Santo, I. A. C. P. Oliveira, Pedro a další

Přispěvatelé: Costa, Lino Espírito Santo, I. A. C. P. Oliveira, Pedro a další

Témata: Augmented lagrangian, Augmented weighted tchebycheff, Engineering optimization, Multi-objective constrained optimization, Pattern search

Popis souboru: application/pdf

Relation: 978-3-030-57421-5; 1871-3033

Dostupnost: https://hdl.handle.net/1822/89574

A Bayesian sampling framework for constrained optimisation of build layouts in additive manufacturing.

Autoři: Kim, Suh In Gee, Kaitlyn Hart, A. John

Zdroj: International Journal of Production Research; Aug2024, Vol. 62 Issue 16, p5772-5790, 19p

Témata: CONSTRAINED optimization, BUILDING layout, MANUFACTURING processes, SURFACE roughness, BAYESIAN analysis

Solving a multi-objective chance-constrained hub covering location problem by discrete invasive weed optimization.

Autoři: Nikokalam-Mozafar, Seyed Hossein Ashjari, Behzad Tavakkoli-Moghaddam, Reza a další

Zdroj: Cogent Engineering. 2014, Vol. 1 Issue 1, p1-N.PAG. 16p.

Témata: Location problems (Programming), Resource allocation, Evolutionary algorithms, NP-hard problems, Metaheuristic algorithms, Stochastic analysis