A Single Deep Neural Network Model for Multiobjective Unconstrained Binary Quadratic Programming Problem

The multiobjective unconstrained binary quadratic programming problem is an important combinatorial optimization problem with both theory and practical values. Until now, several efforts have been made to design metaheuristic methods to solve the problem. However, designing such effective methods is...

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Veröffentlicht in:	International journal of cognitive informatics & natural intelligence Jg. 18; H. 1; S. 1 - 17
Hauptverfasser:	Zhou, Ying, Kong, Lingjing, Liu, Yong, Cai, Yiqiao, Liu, Shaopeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hershey IGI Global 01.01.2024
Schlagworte:	Artificial neural networks Combinatorial analysis Deep learning Design optimization Genetic algorithms Heuristic Heuristic methods Informatics Information technology Machine learning Multiple objective analysis Neural networks Optimization Pareto optimum Quadratic programming
ISSN:	1557-3958, 1557-3966
Online-Zugang:	Volltext
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