1.7k citations · 1.9k across the 7 of their papers we have counts for
7 papers
Efficiency Analysis of Swarm Intelligence and Randomization Techniques
Xin-She Yang
Swarm intelligence has becoming a powerful technique in solving design and scheduling tasks. Metaheuristic algorithms are an integrated part of this paradigm, and particle swarm op…
Multiobjective Firefly Algorithm for Continuous Optimization
Xin-She Yang
Design problems in industrial engineering often involve a large number of design variables with multiple objectives, under complex nonlinear constraints. The algorithms for multiob…
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…