Comparison of Genetic Algorithm and Particle Swarm Optimization for DC Optimal Power Flow

Azam, Muhammad Hanan; Ahmad, Ali; Altaf, Umair; Sarwar, Sohail

doi:10.1109/inmic60434.2023.10466223

2023 25th International Multitopic Conference (INMIC) 2023

DOI: 10.1109/inmic60434.2023.10466223

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Comparison of Genetic Algorithm and Particle Swarm Optimization for DC Optimal Power Flow

Muhammad Hanan Azam,

Ali Ahmad,

Umair Altaf

et al.

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2024

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Comparison of Optimization Methods for the Attitude Control of Satellites

Albareda,

Olfe,

Bello

et al. 2024

Electronics

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The definition of multiple operational modes in a satellite is of vital importance for the adaptation of the satellite to the operational demands of the mission and environmental conditions. In this work, three optimization methods were implemented for the initial calibration of an attitude controller based on fuzzy logic with the purpose of performing an initial exploration of optimal regions of the design space: a multi-objective genetic algorithm (GAMULTIOBJ), a particle swarm optimization (PSO), and a multi-objective particle swarm optimization (MOPSO). The performance of the optimizers was compared in terms of energy cost, accuracy, computational cost, and convergence capabilities of each algorithm. The results show that the PSO algorithm demonstrated superior computational efficiency compared to the others. Concerning the exploration of optimum regions, all algorithms exhibited similar exploratory capabilities. PSO’s low computational cost allowed for thorough scanning of specific interest regions, making it ideal for detailed exploration, whereas MOPSO and GAMULTIOBJ provided more balanced performance with constrained Pareto front elements.

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Comparison of Optimization Methods for the Attitude Control of Satellites

Albareda,

Olfe,

Bello

et al. 2024

Electronics

View full text Add to dashboard Cite

show abstract

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Comparison of Genetic Algorithm and Particle Swarm Optimization for DC Optimal Power Flow

Cited by 1 publication

References 11 publications

Comparison of Optimization Methods for the Attitude Control of Satellites

Comparison of Optimization Methods for the Attitude Control of Satellites

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