Differential Squirrel Search Algorithm (DSSA) Source Code

Version 1.0.0 (5.41 KB) by Manoj Kumar Naik

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

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Updated 2 Sep 2021

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.

Cite As

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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Created with R2018b

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Version	Published	Release Notes
1.0.0	2 Sep 2021		Download

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} }