Computer Science

S. Mirjalili

2015.5.29NEURAL COMPUTING & APPLICATIONS

DOI: 10.1007/s00521-015-1920-1

Resumen de tlooto

The results of DA and BDA prove that the proposed algorithms are able to improve the initial random population for a given problem, converge towards the global optimum, and provide very competitive results compared to other well-known algorithms in the literature.

Resumen

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Formato de cita

MIRJALILI, S. Dragonfly algorithm: A new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems. NEURAL COMPUTING & APPLICATIONS, 2015, 27: 1053–1073.