Open AccessJournal Article
Shuffled Frog Leaping Algorithm Based on Global Sharing Factor
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TL;DR: Experimental results indicate that GSF2LA can effectively improve convergence speed and precision in optimization problem of single peak function and multi-peak function in respectively fixing the condition of global evolution times and convergence precision, and it improves the optimization performance of SFLA.
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Abstract: To solve the problem of slow convergence speed and low optimization precision of Shuffled Frog Leaping Algorithm(SFLA)in later stage of evolution, the optimization SFLAs are proposed in this paper. By introducing the sharing factor, it is divided into global sharing factor and local sharing factor. The idea of three algorithms by adopting two types of sharing factor to SFLA is introduced, and the optimization performance of Shuffled Frog Leaping Algorithm Based on Global Sharing Factor(GSF2LA) is analyzed. Algorithm steps are given and its efficiency is analysed. Experimental results indicate that GSF2LA can effectively improve convergence speed and precision in optimization problem of single peak function and multi-peak function in respectively fixing the condition of global evolution times and convergence precision, and it improves the optimization performance of SFLA.
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Citations
An improved Gbest-guided artificial bee colony algorithm based on dynamic regulatory factor
Jiuyuan Huo,Fanming Meng +1 more
- 01 Feb 2016
TL;DR: The improved artificial algorithm with the dynamic regulatory factor (DRF-GABC) was presented and it was used for optimizing a set of numerical test functions and compared with the original ABC algorithm and the GABC algorithm.
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Harmony Search Method with Global Sharing Factor Based on Natural Number Coding for Vehicle Routing Problem
TL;DR: The improved Global Sharing Factor-Harmony Search-Vehicle Routing Problem (GSF-HS-VRP) algorithm is applied to capacity-limited vehicle path optimization problems compared with the HS, Improved Harmony Search, Global-best Harmony Search (GHS), and Self-adaptive Global Best Harmony search (SGHS) algorithms.
Origin-Oriented Shuffled Frog Leaping Vehicle Routing Multiobjective Optimization Algorithm
Liqun Liu,Ren-Hao Gu,Jiuyuan Huo +2 more
TL;DR: In this paper , a novel framework of shuffled frog leaping algorithm is proposed to solve capacity-limited vehicle routing problem, including three modules such as origin oriented shuffledfrog leaping algorithm strategy, origin oriented shuffle frog leaping vehicle routing multiobjective optimization algorithm strategy and output module.