1.7k citations · 14k across the 89 of their papers we have counts for
10 papers · 1 filter
A comprehensive review of firefly algorithms
Iztok Fister, Xin-She Yang, Janez Brest
The firefly algorithm has become an increasingly important tool of Swarm Intelligence that has been applied in almost all areas of optimization, as well as engineering practice. Ma…
Flower Pollination Algorithm for Global Optimization
Xin-She Yang
Flower pollination is an intriguing process in the natural world. Its evolutionary characteristics can be used to design new optimization algorithms. In this paper, we propose a ne…
A Framework for Self-Tuning Optimization Algorithm
Xin-She Yang, Suash Deb, M. Loomes +1
The performance of any algorithm will largely depend on the setting of its algorithm-dependent parameters. The optimal setting should allow the algorithm to achieve the best perfor…
A Literature Survey of Benchmark Functions For Global Optimization Problems
Momin Jamil, Xin-She Yang
Test functions are important to validate and compare the performance of optimization algorithms. There have been many test or benchmark functions reported in the literature; howeve…
Bat Algorithm: Literature Review and Applications
Xin-She Yang
Bat algorithm (BA) is a bio-inspired algorithm developed by Yang in 2010 and BA has been found to be very efficient. As a result, the literature has expanded significantly in the l…
Firefly Algorithm: Recent Advances and Applications
Xin-She Yang, Xingshi He
Nature-inspired metaheuristic algorithms, especially those based on swarm intelligence, have attracted much attention in the last ten years. Firefly algorithm appeared in about fiv…