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Algorithms 2016, 9(2), 23; doi:10.3390/a9020023

An Improved Fireworks Algorithm Based on Grouping Strategy of the Shuffled Frog Leaping Algorithm to Solve Function Optimization Problems

1
School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan 114044, China
2
National Financial Security and System Equipment Engineering Research Center, University of Science and Technology Liaoning, Anshan 114044, China
*
Author to whom correspondence should be addressed.
Academic Editor: Paul M. Goggans
Received: 10 October 2015 / Accepted: 21 December 2015 / Published: 1 April 2016
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Abstract

The fireworks algorithm (FA) is a new parallel diffuse optimization algorithm to simulate the fireworks explosion phenomenon, which realizes the balance between global exploration and local searching by means of adjusting the explosion mode of fireworks bombs. By introducing the grouping strategy of the shuffled frog leaping algorithm (SFLA), an improved FA-SFLA hybrid algorithm is put forward, which can effectively make the FA jump out of the local optimum and accelerate the global search ability. The simulation results show that the hybrid algorithm greatly improves the accuracy and convergence velocity for solving the function optimization problems. View Full-Text
Keywords: fireworks algorithm; shuffled frog leaping algorithm; grouping strategy; function optimization fireworks algorithm; shuffled frog leaping algorithm; grouping strategy; function optimization
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Sun, Y.-F.; Wang, J.-S.; Song, J.-D. An Improved Fireworks Algorithm Based on Grouping Strategy of the Shuffled Frog Leaping Algorithm to Solve Function Optimization Problems. Algorithms 2016, 9, 23.

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