Multi-Objective Teaching-Learning-Based Optimization for Structure Optimization

Teaching-learning-based optimization is a specific parameter-free and powerful algorithm. However, in large and diverse spaces it often gets trapped in local optima and faces criticism of premature convergence particularly while solving multi-objective problems. The present work proposed a novel mul...

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Veröffentlicht in:	Smart science Jg. 10; H. 1; S. 56 - 67
Hauptverfasser:	Kumar, Sumit, Tejani, Ghanshyam G., Pholdee, Nantiwat, Bureerat, Sujin, Jangir, Pradeep
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Taylor & Francis 02.01.2022
Schlagworte:	algorithms constrained design discrete optimization metaheuristics Structural design
ISSN:	2308-0477, 2308-0477
Online-Zugang:	Volltext
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