Differential Squirrel Search Algorithm (DSSA) Source Code

Version 1.0.0 (5,41 ko) par Manoj Kumar Naik

This consists of Differential Squirrel Search Algorithm (DSSA) source code in MATLAB

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Mise à jour 2 sept. 2021

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A new hybrid differential squirrel search algorithm optimization algorithm (DSSA) by combining the searching methods of a squirrel search algorithm and differential evolution optimization process for solving the global optimization problem. The main thrust is to include the crossover mechanism in differential evolution algorithm, to improve its exploration capability and modification of the updating rule of squirrel during foraging to improve its exploitation skill.

Citation pour cette source

Jena, Bibekananda, et al. “A Differential Squirrel Search Algorithm.” Lecture Notes in Networks and Systems, Springer Singapore, 2021, pp. 143–52, doi:10.1007/978-981-16-0695-3_15.

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Version	Publié le	Notes de version
1.0.0	2 sept. 2021		Télécharger

MLA	Jena, Bibekananda, et al. “A Differential Squirrel Search Algorithm.” Lecture Notes in Networks and Systems, Springer Singapore, 2021, pp. 143–52, doi:10.1007/978-981-16-0695-3_15.
APA	Jena, B., Naik, M. K., Wunnava, A., & Panda, R. (2021). A Differential Squirrel Search Algorithm. In Lecture Notes in Networks and Systems (pp. 143–152). Springer Singapore. Retrieved from https://doi.org/10.1007%2F978-981-16-0695-3_15
BibTeX	@incollection{Jena_2021, doi = {10.1007/978-981-16-0695-3_15}, url = {https://doi.org/10.1007%2F978-981-16-0695-3_15}, year = 2021, publisher = {Springer Singapore}, pages = {143--152}, author = {Bibekananda Jena and Manoj Kumar Naik and Aneesh Wunnava and Rutuparna Panda}, title = {A Differential Squirrel Search Algorithm}, booktitle = {Lecture Notes in Networks and Systems} }