Evaluation of the absolute forms of cost functions in optimization using a novel evolutionary algorithm

Many ordinary approaches in optimization are mathematical-based. Due to the limitations of such methods, optimal problems have been commonly defined in single-objective and quadratic forms, leading to non-optimal solutions based on the main design requirements. In order to address these issues, this...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 27; H. 22; S. 16843 - 16879
Hauptverfasser:	Mohammadi, Adel, Nariman-zadeh, Nader, Payan, Meghdad, Jamali, Ali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2023 Springer Nature B.V
Schlagworte:	Artificial Intelligence Computational Intelligence Control Cost function COVID-19 Disease transmission Engineering Evolutionary algorithms Exact solutions Genetic algorithms Mathematical analysis Mathematical Logic and Foundations Mathematics Mechatronics Objectives Objectivity Optimal control Optimization Quadratic forms Robotics Analytical non-dominant solutions Objective forms Absolute cost functions Multi-objective optimization Genetic programming
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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