Search Results - multi-objective combinatorial optimization problems and (solution OR evolution) methods

Multi-Objective Neural Evolutionary Algorithm for Combinatorial Optimization Problems by Shao, Yinan, Lin, Jerry Chun-Wei, Srivastava, Gautam, Guo, Dongdong, Zhang, Hongchun, Yi, Hu, Jolfaei, Alireza

“…) for combinatorial optimization problems. The proposed MONEADD is an end-to-end algorithm that utilizes genetic operations and rewards signals to evolve neural networks for different combinatorial optimization problems without further engineering…”
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Multi-Objective Combinatorial Optimization Problems and Solution Methods by 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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An exact solution approach for multi-objective location–transportation problem for disaster response by 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 by 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 by 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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Dynamic constrained multi-objective optimization based on adaptive combinatorial response mechanism by 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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A diversity preservation method for expensive multi-objective combinatorial optimization problems using Novel-First Tabu Search and MOEA/D by 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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A Bi-Population Co-Evolutionary Multi-Objective Optimization Algorithm for Production Scheduling Problems in a Metal Heat Treatment Process with Time Window Constraints by Gu, Jiahui, Liu, Boheng, Zhao, Ziyan

“… Most multi-objective optimization algorithms rely on the evolution of a single population, which makes them prone to premature convergence, leading to local optimal solutions and insufficient…”
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Multi-Objective Topology Optimization Method for Hybrid-Type Motors Combining Combinatorial Optimization and Local Search by Hidaka, Yuki

“…This study proposes a novel multi-objective topology optimization method for hybrid-type motors…”
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Bi-goal evolution for many-objective optimization problems by Li, Miqing, Yang, Shengxiang, Liu, Xiaohui

“…), to deal with multi-objective optimization problems with many objectives. In multi-objective optimization, it is generally observed that 1…”
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A hybrid multi-objective evolutionary algorithm with high solving efficiency for UAV defense programming by Bai, Zhenzu, Zhou, Haiyin, Shi, Jianmai, Xing, Lining, Wang, Jiongqi

“… This paper introduces a modified differential evolution based on a new mapping method called Pareto-Optimal-Matching that solves multi-objective binary optimization problems and constructs a 3…”
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Neuro-PLS: A Generalizable Local Search Framework for Multi-objective Combinatorial Optimization by 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 by 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 by 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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Min-ordering and max-ordering scalarization methods for multi-objective robust optimization by 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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Multi-objective variable neighborhood search: an application to combinatorial optimization problems by 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 by 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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Modeling and Solving the Knapsack Problem with a Multi-Objective Equilibrium Optimizer Algorithm Based on Weighted Congestion Distance by Wang, Ziqian, Huang, Xin, Zhang, Yan, Lv, Danju, Li, Wei, Zhu, Zhicheng, Dong, Jian’e

“…The knapsack problem is a typical bi-objective combinatorial optimization issue, wherein maximizing the value of the packed items is achieved concurrently with minimizing the weight of the load…”
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Multi-Objective Combinatorial Optimization Algorithm Based on Asynchronous Advantage Actor–Critic and Graph Transformer Networks by 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 by 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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