A Double Exponential Particle Swarm Optimization with non-uniform variates as stochastic tuning and guaranteed convergence to a global optimum with sample applications to finding optimal exact designs in biostatistics-Reference-Cited by-同舟云学术

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A Double Exponential Particle Swarm Optimization with non-uniform variates as stochastic tuning and guaranteed convergence to a global optimum with sample applications to finding optimal exact designs in biostatistics

Published:2024-09 Issue: Volume:163 Page:111913
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Stehlík Milan^ORCID,Chen Ping-Yang^ORCID,Wong Weng Kee,Kiseľák Jozef

Publisher

Elsevier BV

Reference71 articles.

1. Recent trends indicate rapid growth of nature-inspired optimization in academia and industry;Whitacre;Computing,2011

2. Survival of the flexible: Explaining the recent dominance of nature-inspired optimization within a rapidly evolving world;Whitacre;Computing,2011

3. Overview of Current Metaheuristic Paradigms;Oliveira,2015

4. Review on nature-inspired algorithms;Korani;SN Oper. Res. Forum,2021

5. Swarm intelligence: past,present and future;Yang;Soft Comput.,2017

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