Hybrid Multi-Operator Evolutionary Algorithm (HMOEA)

Version 1.0.0 (5.26 KB) by praveen kumar

this program is designed to solve a multi-objective optimization problem

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Updated 29 Nov 2024

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sphere and offset sphere function is tested.use this code for your objective functions and comment on its performance.

Cite As

Ali, Aamir, et al. A Novel Hybrid Multi-Operator Evolutionary Algorithm for Dynamic Distributed Generation Optimization and Optimal Feeder Reconfiguration . Springer Science and Business Media LLC, Nov. 2024, doi:10.21203/rs.3.rs-5297780/v1.

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MATLAB Release Compatibility

Created with R2022b

Compatible with any release

Platform Compatibility

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HMOEA

Version	Published	Release Notes
1.0.0	29 Nov 2024		Download

MLA	Ali, Aamir, et al. A Novel Hybrid Multi-Operator Evolutionary Algorithm for Dynamic Distributed Generation Optimization and Optimal Feeder Reconfiguration . Springer Science and Business Media LLC, Nov. 2024, doi:10.21203/rs.3.rs-5297780/v1.
APA	Ali, A., Ismael, M., Saand, A. S., Ayaz, M., Serwar, G., Siddiqui, R. A., & Kondhar, M. (2024). A Novel Hybrid Multi-Operator Evolutionary Algorithm for Dynamic Distributed Generation Optimization and Optimal Feeder Reconfiguration . Springer Science and Business Media LLC. Retrieved from http://dx.doi.org/10.21203/rs.3.rs-5297780/v1
BibTeX	@article{Ali_2024, title={A Novel Hybrid Multi-Operator Evolutionary Algorithm for Dynamic Distributed Generation Optimization and Optimal Feeder Reconfiguration }, url={http://dx.doi.org/10.21203/rs.3.rs-5297780/v1}, DOI={10.21203/rs.3.rs-5297780/v1}, publisher={Springer Science and Business Media LLC}, author={Ali, Aamir and Ismael, Muhammad and Saand, A. S. and Ayaz, Munwar and Serwar, Ghulam and Siddiqui, Rizwan A. and Kondhar, Mohsin}, year={2024}, month=nov }