Výsledky vyhľadávania - Multi-Objective Combinatorial Optimization Problems and Solution Methods

Multi-Objective Combinatorial Optimization Problems and Solution Methods Autor Toloo, Mehdi, Talatahari, Siamak, Rahimi, Iman

“…Multi-Objective Combinatorial Optimization Problems and Solution Methods discusses the results of a recent multi-objective combinatorial optimization achievement that considered metaheuristic…”
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Min-ordering and max-ordering scalarization methods for multi-objective robust optimization Autor Schmidt, M., Schöbel, Anita, Thom, Lisa

“…•Approaches for combinatorial problems with special uncertainty sets are developed. Several robustness concepts for multi-objective uncertain optimization have been developed during the last years, but not many solution methods…”
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An exact solution approach for multi-objective location–transportation problem for disaster response Autor Abounacer, Rachida, Rekik, Monia, Renaud, Jacques

“…This paper considers a three-objective location–transportation problem for disaster response…”
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Deep reinforcement learning for multi-objective combinatorial optimization: A case study on multi-objective traveling salesman problem Autor Li, Shicheng, Wang, Feng, He, Qi, Wang, Xujie

“…Multi-objective combinatorial optimization problems (MOCOPs) widely exist in real applications, and most of them are computationally difficult or NP-hard…”
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Self-adaptive Equilibrium Optimizer for solving global, combinatorial, engineering, and Multi-Objective problems Autor Houssein, Essam H., Çelik, Emre, Mahdy, Mohamed A., Ghoniem, Rania M.

“…This paper proposes a self-adaptive Equilibrium Optimizer (self-EO) to perform better global, combinatorial, engineering, and multi-objective optimization problems…”
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A diversity preservation method for expensive multi-objective combinatorial optimization problems using Novel-First Tabu Search and MOEA/D Autor de Moraes, Matheus Bernardelli, Coelho, Guilherme Palermo

“…Expensive multi-objective combinatorial optimization problems have constraints in the number of objective function evaluations due to time, financial, or resource restrictions…”
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Multi-Objective Topology Optimization Method for Hybrid-Type Motors Combining Combinatorial Optimization and Local Search Autor Hidaka, Yuki

“…This study proposes a novel multi-objective topology optimization method for hybrid-type motors…”
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A Novel Particle Swarm Optimization Algorithm for Multi-Objective Combinatorial Optimization Problem Autor Roy, Rahul, Dehuri, Satchidananda, Cho, Sung Bae

“… In such case evolutionary based meta-heuristic approaches are found suitable. In this paper, a novel particle swarm optimization based meta-heuristic algorithm is presented to solve multi-objective combinatorial optimization problems…”
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Multi- and many-objective path-relinking: A taxonomy and decomposition approach Autor Fernandes, Islame F.C., Goldbarg, Elizabeth F.G., Maia, Silvia M.D.M., Goldbarg, Marco C.

“…This paper proposes a decomposition-based path-relinking method for multi- and many-objective combinatorial optimization problems…”
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Dynamic constrained multi-objective optimization based on adaptive combinatorial response mechanism Autor Aliniya, Zahra, Khasteh, Seyed Hossein

“…In dynamic multi-objective optimization problems (DMOPs), objective functions, problem parameters, and constraints may change over time…”
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Neuro-PLS: A Generalizable Local Search Framework for Multi-objective Combinatorial Optimization Autor Zhang, Haotian, Shi, Jialong, Sun, Jianyong, Zhang, Qingfu, Xu, Zongben

“…In this paper, we present a novel neural multi-objective combinatorial optimization framework with generalization ability across problems…”
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Ordinal optimization through multi-objective reformulation Autor Klamroth, Kathrin, Stiglmayr, Michael, Sudhoff, Julia

“…•Ordinal optimization as a specific case of multi-objective optimization.•Linear transformation to multi-objective combinatorial problems with binary costs…”
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Mathematical analysis and solutions for multi-objective line-cell conversion problem Autor Yu, Yang, Tang, Jiafu, Gong, Jun, Yin, Yong, Kaku, Ikou

“…). In this paper, we develop a multi-objective optimization model to investigate two line-cell conversion performances…”
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Multi-objective variable neighborhood search: an application to combinatorial optimization problems Autor Duarte, Abraham, Pantrigo, Juan J., Pardo, Eduardo G., Mladenovic, Nenad

“… In this paper, we explore the adaptation of the Variable Neighborhood Search (VNS) metaheuristic to solve multi-objective combinatorial optimization problems…”
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New approaches to multi-objective optimization Autor Grandoni, Fabrizio, Ravi, R., Singh, Mohit, Zenklusen, Rico

“… In more detail, we obtain the following main results: Using iterative rounding for the first time in multi-objective optimization…”
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Multi-Objective Combinatorial Optimization Algorithm Based on Asynchronous Advantage Actor–Critic and Graph Transformer Networks Autor Jia, Dongbao, Cao, Ming, Hu, Wenbin, Sun, Jing, Li, Hui, Wang, Yichen, Zhou, Weijie, Yin, Tiancheng, Qian, Ran

“…Multi-objective combinatorial optimization problems (MOCOPs) are designed to identify solution sets that optimally balance multiple competing objectives…”
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An improved discrete multi-objective artificial protozoa optimizer for solving multi-objective knapsack problems Autor Liao, Junjie, Gao, Zheng-Ming, Sethumadhavan, Syam Melethil, Su, Gaoshuai, Zhao, Juan

“…The multi-objective knapsack problem (MOKP) is a challenging combinatorial optimization problem that traditional methods often fail to solve effectively…”
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An efficient chemical reaction algorithm for multi-objective combinatorial bi-level optimization Autor Abbassi, Malek, Chaabani, Abir, Said, Lamjed Ben

“… Regarding Multi-objective BLOPs (MBLOPs), there do not exist too many previous studies because of the difficulties associated with solving these complex problems…”
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Robustness analysis methodology for multi-objective combinatorial optimization problems and application to project selection Autor Mavrotas, George, Figueira, José Rui, Siskos, Eleftherios

“…Multi-objective combinatorial optimization (MOCO) problems, apart from being notoriously difficult and complex to solve in reasonable computational time…”
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Quantum-Inspired Hyperheuristic Framework for Solving Dynamic Multi-Objective Combinatorial Problems in Disaster Logistics Autor Danach, Kassem, Harb, Hassan, Saker, Louai, Raad, Ali

“… In this context, we propose a novel Quantum-Inspired Hyperheuristic Framework (QHHF) designed to solve Dynamic Multi-Objective Combinatorial Optimization Problems (DMOCOPs…”
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