Search Results - Multi-Objective Combinatorial Optimization Problems and Solution Methods

Multi-Objective Combinatorial Optimization Problems and Solution Methods

Authors: Toloo, Mehdi Talatahari, Siamak Rahimi, Iman

Index Terms: book

URL: https://international.scholarvox.com/book/88930801

Multi-Objective Combinatorial Optimization Problems and Solution Methods

Multi-Objective Combinatorial Optimization Problems and Solution Methods

Authors: Mehdi Toloo Siamak Talatahari Iman Rahimi

Resource Type: eBook.

Subjects: Combinatorial optimization

Categories: SCIENCE / Biotechnology, TECHNOLOGY & ENGINEERING / Biomedical

The fundamentals and potential of heuristics and metaheuristics for multiobjective combinatorial optimization problems and solution methods

Authors: Ana Carolina Borges Monteiro Reinaldo Padilha França Rangel Arthur et al.

Source: Multi-Objective Combinatorial Optimization Problems and Solution Methods ISBN: 9780128237991

Objective space division-based hybrid evolutionary algorithm for handing overlapping solutions in combinatorial problems

Authors: Begoña González Daniel A. Rossit Máximo Méndez et al.

Source: Mathematical Biosciences and Engineering, Vol 19, Iss 4, Pp 3369-3401 (2022)

Subject Terms: objective space division, overlapping solutions, multi-objective evolutionary algorithms, multi-objective combinatorial optimization problems, bi-objective knapsack problem, Biotechnology, TP248.13-248.65, Mathematics, QA1-939

File Description: electronic resource

Relation: https://doaj.org/toc/1551-0018

Access URL: https://doaj.org/article/51936c02e9374e5aa44ab72d8979f832

Quantum-Inspired Hyperheuristic Framework for Solving Dynamic Multi-Objective Combinatorial Problems in Disaster Logistics

Authors: Kassem Danach Hassan Harb Louai Saker et al.

Source: World Electric Vehicle Journal, Vol 16, Iss 6, p 310 (2025)

Subject Terms: artificial intelligence, combinatorial optimization, hyperheuristic, quantum-inspired algorithm, dynamic vehicle routing, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Transportation engineering, TA1001-1280

File Description: electronic resource

Relation: https://www.mdpi.com/2032-6653/16/6/310; https://doaj.org/toc/2032-6653

Access URL: https://doaj.org/article/0355371ace3b49a9b344d1d2786b3787

Ordinal optimization through multi-objective reformulation.

Authors: Klamroth, Kathrin Stiglmayr, Michael Sudhoff, Julia

Source: European Journal of Operational Research. Dec2023, Vol. 311 Issue 2, p427-443. 17p.

Subject Terms: *DYNAMIC programming, COMBINATORIAL optimization, KNAPSACK problems

A proposal of a multi-objective optimization method using Combinatorial Auction for parts ordering problem / 部品発注計画問題に対する組合せオークションを用いた多目的最適化手法の一提案

Authors: Daisuke KOKURYO Nobutada FUJII Shota SUGINOUCHI et al.

Source: The Proceedings of Mechanical Engineering Congress, Japan. 2018, :1440005

Bi-level multi-objective combinatorial optimization using reference approximation of the lower level reaction.

Authors: Abbassi, Malek Chaabani, Abir Said, Lamjed Ben et al.

Source: Procedia Computer Science. 2020, Vol. 176, p2098-2107. 10p.

Subject Terms: Vehicle routing problem, Supply chain management, Combinatorial optimization, Algorithms, Statistics, Decision making

Min-ordering and max-ordering scalarization methods for multi-objective robust optimization.

Authors: Schmidt, M. Schöbel, Anita Thom, Lisa

Source: European Journal of Operational Research. Jun2019, Vol. 275 Issue 2, p446-459. 14p.

Subject Terms: ROBUST optimization, COMBINATORIAL optimization, MIXED integer linear programming, STOCHASTIC orders, UNCERTAINTY

Modeling and Solving the Knapsack Problem with a Multi-Objective Equilibrium Optimizer Algorithm Based on Weighted Congestion Distance

Authors: Ziqian Wang Xin Huang Yan Zhang et al.

Source: Mathematics, Vol 12, Iss 22, p 3538 (2024)

Subject Terms: MOEO_WCD, knapsack problem, multi-objective optimization, weighted crowding distance, Mathematics, QA1-939

File Description: electronic resource

Relation: https://www.mdpi.com/2227-7390/12/22/3538; https://doaj.org/toc/2227-7390

Access URL: https://doaj.org/article/fec40f620af44aa489176292df205f84

Solution Methods for Multi-Objective Robust Combinatorial Optimization

Authors: Thom, Lisa Schöbel, Anita Prof. Dr. Schmidt, Marie Dr.

Contributors: Thom, Lisa Schöbel, Anita Prof. Dr. Schmidt, Marie Dr.

Subject Terms: Multi-objective robust optimization, Multi-objective optimization, Robust optimization, Combinatorial optimization, Mathematik (PPN61756535X)

Time: 510

Availability: http://hdl.handle.net/11858/00-1735-0000-002E-E3D4-D
https://doi.org/10.53846/goediss-6852
https://nbn-resolving.org/urn:nbn:de:gbv:7-11858/00-1735-0000-002E-E3D4-D-1

Min-ordering and max-ordering scalarization methods for multi-objective robust optimization

Authors: Schmidt, Marie Schoebel, A Thom, Lisa

Source: Schmidt, M, Schoebel, A & Thom, L 2019, 'Min-ordering and max-ordering scalarization methods for multi-objective robust optimization', European Journal of Operational Research, vol. 275, no. 2, pp. 446-459.

Index Terms: dk/atira/pure/keywords/researchprograms/AFL000700/RSMLIS; name=RSM LIS, article

URL: https://pure.eur.nl/en/publications/e0e683f9-b29d-416e-8ea1-098543c03451

Learnable Evolutionary Multi-Objective Combinatorial Optimization via Sequence-to-Sequence Model

Authors: Huang, Jiaxiang Jiao, Licheng

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

URL: http://arxiv.org/abs/2412.06140

From Single-Objective to Bi-Objective Maximum Satisfiability Solving.

Authors: Jabs, Christoph Berg, Jeremias Niskanen, Andreas et al.

Source: Journal of Artificial Intelligence Research. 2024, Vol. 80, p1223-1269. 47p.

Subject Terms: Satisfiability (Computer science), NP-hard problems, Combinatorial optimization, Integer programming, Multidisciplinary design optimization

Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization

Authors: Chen, Jinbiao Wang, Jiahai Zhang, Zizhen et al.

Index Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2310.15196

Multi-objective Pointer Network for Combinatorial Optimization

Authors: Gao, Le-yang Wang, Rui Liu, Chuang et al.

Index Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2204.11860

Learning Adaptive Evolutionary Computation for Solving Multi-Objective Optimization Problems

Authors: Coppens, Remco Reijnen, Robbert Zhang, Yingqian et al.

Index Terms: Computer Science - Neural and Evolutionary Computing, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2211.09719

Learning Adaptive Evolutionary Computation for Solving Multi-Objective Optimization Problems

Authors: Coppens, Remco H.M. Reijnen, Robbert Zhang, Yingqian et al.

Source: arXiv vol.2022 (2022) date: 2022-11-01 [ISSN 2331-8422]

Index Terms: Tijdschriftartikel, Article

URL: https://research.tue.nl/en/publications/006fe57b-8b30-48fa-9bf8-f9190f7dd76c

UNCO: Towards Unifying Neural Combinatorial Optimization through Large Language Model

Authors: Jiang, Xia Wu, Yaoxin Wang, Yuan et al.

Source: (2024) date: 2024-08-22, pp.8

Index Terms: cs.AI, Preprint

URL: https://research.tue.nl/en/publications/aa36e37e-ca4e-41fb-827e-47f78c5e2b95