1.7k citations · 14k across the 89 of their papers we have counts for
10 papers · 2 filters
Test Problems in Optimization
Xin-She Yang
Test functions are important to validate new optimization algorithms and to compare the performance of various algorithms. There are many test functions in the literature, but ther…
Engineering Optimisation by Cuckoo Search
Xin-She Yang, Suash Deb
A new metaheuristic optimisation algorithm, called Cuckoo Search (CS), was developed recently by Yang and Deb (2009). This paper presents a more extensive comparison study using so…
A New Metaheuristic Bat-Inspired Algorithm
Xin-She Yang
Metaheuristic algorithms such as particle swarm optimization, firefly algorithm and harmony search are now becoming powerful methods for solving many tough optimization problems. I…
Eagle Strategy Using Lévy Walk and Firefly Algorithms For Stochastic Optimization
Xin-She Yang, Suash Deb
Most global optimization problems are nonlinear and thus difficult to solve, and they become even more challenging when uncertainties are present in objective functions and constra…
Biology-Derived Algorithms in Engineering Optimization
Xin-She Yang
Biology-derived algorithms are an important part of computational sciences, which are essential to many scientific disciplines and engineering applications. Many computational meth…
Harmony Search as a Metaheuristic Algorithm
Xin-She Yang
This first chapter intends to review and analyze the powerful new Harmony Search (HS) algorithm in the context of metaheuristic algorithms. I will first outline the fundamental ste…