1.7k citations · 14k across the 89 of their papers we have counts for
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Ten New Benchmarks for Optimization
Xin-She Yang
Benchmarks are used for testing new optimization algorithms and their variants to evaluate their performance. Most existing benchmarks are smooth functions. This chapter introduces…
The Global Convergence Analysis of the Bat Algorithm Using a Markovian Framework and Dynamical System Theory
Si Chen, Guo-Hua Peng, Xing-Shi He +1
The bat algorithm (BA) has been shown to be effective to solve a wider range of optimization problems. However, there is not much theoretical analysis concerning its convergence an…
Reliability based-design optimization using the directional bat algorithm
Asma Chakri, Xin-She Yang, Rabia Khelif +1
Reliability based design optimization (RBDO) problems are important in engineering applications, but it is challenging to solve such problems. In this study, a new resolution metho…
Global Convergence Analysis of the Flower Pollination Algorithm: A Discrete-Time Markov Chain Approach
Xingshi He, Xin-She Yang, Mehmet Karamanoglu +1
Flower pollination algorithm is a recent metaheuristic algorithm for solving nonlinear global optimization problems. The algorithm has also been extended to solve multiobjective op…
Bat Algorithm is Better Than Intermittent Search Strategy
Xin-She Yang, Suash Deb, Simon Fong
The efficiency of any metaheuristic algorithm largely depends on the way of balancing local intensive exploitation and global diverse exploration. Studies show that bat algorithm c…
Cuckoo Search: A Brief Literature Review
I. Fister, X. S. Yang, D. Fister
Cuckoo search (CS) was introduced in 2009, and it has attracted great attention due to its promising efficiency in solving many optimization problems and real-world applications. I…