1.7k citations · 14k across the 89 of their papers we have counts for
9 papers · 1 filter
Metaheuristic Optimization: Algorithm Analysis and Open Problems
Xin-She Yang
Metaheuristic algorithms are becoming an important part of modern optimization. A wide range of metaheuristic algorithms have emerged over the last two decades, and many metaheuris…
Bat Algorithm: A Novel Approach for Global Engineering Optimization
Xin-She Yang, Amir H. Gandomi
Nature-inspired algorithms are among the most powerful algorithms for optimization. In this study, a new nature-inspired metaheuristic optimization algorithm, called bat algorithm…
Nature-Inspired Mateheuristic Algorithms: Success and New Challenges
Xin-She Yang
Despite the increasing popularity of metaheuristics, many crucially important questions remain unanswered. There are two important issues: theoretical framework and the gap between…
Free Lunch or No Free Lunch: That is not Just a Question?
Xin-She Yang
The increasing popularity of metaheuristic algorithms has attracted a great deal of attention in algorithm analysis and performance evaluations. No-free-lunch theorems are of both…
Memetic firefly algorithm for combinatorial optimization
Iztok Fister, Xin-She Yang, Janez Brest
Firefly algorithms belong to modern meta-heuristic algorithms inspired by nature that can be successfully applied to continuous optimization problems. In this paper, we have been a…
Two-Stage Eagle Strategy with Differential Evolution
Xin-She Yang, Suash Deb
Efficiency of an optimization process is largely determined by the search algorithm and its fundamental characteristics. In a given optimization, a single type of algorithm is used…