Search Results - "Multi-objective combinatorial optimization problems"

A reactive path relinking algorithm for solving the bi-objective p-Median and p-Dispersion problem by Lozano-Osorio, I., Sánchez-Oro, J., López-Sánchez, A. D., Duarte, A.

“…This paper deals with an interesting facility location problem known as the bi-objective p -Median and p -Dispersion problem ( BpMD problem). The BpMD problem…”
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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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Objective space division-based hybrid evolutionary algorithm for handing overlapping solutions in combinatorial problems by González, Begoña, Rossit, Daniel A., Méndez, Máximo, Frutos, Mariano

“…Overlapping solutions occur when more than one solution in the space of decisions maps to the same solution in the space of objectives. This situation…”
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The small world of efficient solutions: empirical evidence from the bi-objective {0,1}-knapsack problem by Gomes da Silva, Carlos, Clímaco, João, Filho, Adiel Almeida

“…The small world phenomenon, Milgram (1967) has inspired the study of real networks such as cellular networks, telephone call networks, citation networks, power…”
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Twin-Component Near-Pareto Routing Optimization for AANETs in the North-Atlantic Region Relying on Real Flight Statistics by Cui, Jingjing, Yetgin, Halil, Liu, Dong, Zhang, Jiankang, Ng, Soon Xin, Hanzo, Lajos

“…Integrated ground-air-space (IGAS) networks intrinsically amalgamate terrestrial and non-terrestrial communication techniques in support of universal…”
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Using UML and OCL for representing multiobjective combinatorial optimization problems by Eracar, Yönet A., Kokar, Mieczyslaw M.

“…This paper describes the results of a preliminary feasibility study of an approach to representing multiobjective combinatorial optimization problems in UML…”
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Fuzzy rule based classification with FeatureSelector and modified threshold accepting by Ravi, V., Zimmermann, H.-J.

“…This paper highlights the need to reduce the dimension of the feature space in classification problems of high dimensions without sacrificing the…”
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Fuzzy rule base generation for classification and its minimization via modified threshold accepting by Ravi, V., Reddy, P.J., Zimmermann, H.-J.

“…This paper addresses the application of a modified threshold accepting algorithm (MTA) for minimizing the number of rules in a fuzzy rule-based classification…”
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