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Multi-Objective Combinatorial Optimization Problems and Solution Methods
Toloo, Mehdi ; Talatahari, Siamak ; Rahimi, Iman ; et al.

E-Ressource
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5

Quantum-Inspired Hyperheuristic Framework for Solving Dynamic Multi-Objective Combinatorial Problems in Disaster Logistics
Kassem Danach ; Hassan Harb ; Louai Saker ; et al.
World Electric Vehicle Journal, Vol 16, Iss 6, p 310 (2025)

artificial intelligence combinatorial optimizati... hyperheuristic quantum-inspired algorit... dynamic vehicle routing Electrical engineering.... …
Fachzeitschrift
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6

Objective space division-based hybrid evolutionary algorithm for handing overlapping solutions in combinatorial problems
Begoña González ; Daniel A. Rossit ; Máximo Méndez ; et al.
Mathematical Biosciences and Engineering, Vol 19, Iss 4, Pp 3369-3401 (2022)

objective space division overlapping solutions multi-objective evolutio... multi-objective combinat... bi-objective knapsack pr... Biotechnology …
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7

Solving Maximum Cut Problem with Multi-objective Enhance Quantum Approximate Optimization Algorithm
Ha, Huy Phuc Nguyen ; Nguyen, Viet Hung ; Ta, Anh Son ; et al.
Computational Science and Its Applications – ICCSA 2024 Workshops. :244-252

Hanoi, Vietnam Combinatorial optimizati... Max Cut Problem Quantum Algorithms [INFO.INFO-RO]Computer S... Operations Research [mat... …
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8

Bi-level multi-objective combinatorial optimization using reference approximation of the lower level reaction.
Abbassi, Malek ; Chaabani, Abir ; Said, Lamjed Ben ; et al.
Procedia Computer Science. 2020, Vol. 176, p2098-2107. 10p.

Vehicle routing problem Supply chain management Combinatorial optimizati... Algorithms Statistics Decision making
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9

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10

Ordinal optimization through multi-objective reformulation.
Klamroth, Kathrin ; Stiglmayr, Michael ; Sudhoff, Julia
European Journal of Operational Research. Dec2023, Vol. 311 Issue 2, p427-443. 17p.

DYNAMIC programming COMBINATORIAL optimizati... KNAPSACK problems
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11

From Single-Objective to Bi-Objective Maximum Satisfiability Solving.
Jabs, Christoph ; Berg, Jeremias ; Niskanen, Andreas ; et al.
Journal of Artificial Intelligence Research. 2024, Vol. 80, p1223-1269. 47p.

Satisfiability (Computer... NP-hard problems Combinatorial optimizati... Integer programming Multidisciplinary design...
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12

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13

Exact Methods for Bi-Objective Combinatorial Optimization Problems : Application to Vehicle Routing Problems
Méthodes exactes pour les problèmes combinatoires bi-objectif : Application sur les problèmes de tournées de véhicules
Glize, Estele ; Équipe Recherche Opérationnelle, Optimisation Combinatoire et Contraintes (LAAS-ROC) ; Laboratoire d'analyse et d'architecture des systèmes (LAAS) ; et al.
Automatique / Robotique. INSA de Toulouse, 2019. Français. ⟨NNT : 2019ISAT0023⟩

Combinatorial optimizati... Exact methods Vehicle routing problem Column generation Integer linear programmi... Multi-objective optimiza... …
Dissertation
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14

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15

2 - The fundamentals and potential of heuristics and metaheuristics for multiobjective combinatorial optimization problems and solution methods
Monteiro, Ana Carolina Borges ; França, Reinaldo Padilha ; Arthur, Rangel ; et al.
In Multi-Objective Combinatorial Optimization Problems and Solution Methods 2022:9-29

Buch
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16

Multi-objective brainstorm optimization algorithm based on Bayesian inference learning automaton for solving CVRP with time windows.
Tunga, Harinandan ; Kar, Samarjit ; Giri, Debasis
Applied Soft Computing. Sep2024, Vol. 162, pN.PAG-N.PAG. 1p.

Optimization algorithms Vehicle routing problem Machine learning Bayesian field theory Robots Python programming langu... …
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17

Min-ordering and max-ordering scalarization methods for multi-objective robust optimization
Schmidt, M. ; Schöbel, Anita ; Thom, Lisa
In European Journal of Operational Research 1 June 2019 275(2):446-459

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18

An iterated local search for the multi-objective permutation flowshop scheduling problem with sequence-dependent setup times.
Xu, Jianyou ; Wu, Chin-Chia ; Yin, Yunqiang ; et al.
Applied Soft Computing. Mar2017, Vol. 52, p39-47. 9p.

Iterative methods (Mathe... Permutations Mathematical optimizatio... Problem solving Mathematical sequences
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19

An Interactive Polyhedral Approach for Multi-Objective Combinatorial Optimization with Incomplete Preference Information
Benabbou, Nawal ; Lust, Thibaut ; DECISION ; et al.
SUM 2019 - The 13th international conference on Scalable Uncertainty Management, Dec 2019, Compiègne, France

Compiègne, France [INFO.INFO-AI]Computer S... Artificial Intelligence...
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