• Publications
  • Influence
Introduction to Algorithms
  • Xin-She Yang
  • Computer Science
    Nature-Inspired Optimization Algorithms
  • 2021
Cuckoo Search via Lévy flights
  • Xin-She Yang, S. Deb
  • Computer Science
    World Congress on Nature & Biologically Inspired…
  • 1 December 2009
TLDR
A new meta-heuristic algorithm, called Cuckoo Search (CS), is formulated, based on the obligate brood parasitic behaviour of some cuckoo species in combination with the Lévy flight behaviour ofSome birds and fruit flies, for solving optimization problems.
Nature-Inspired Metaheuristic Algorithms
TLDR
This book reviews and introduces the state-of-the-art nature-inspired metaheuristic algorithms in optimization, including genetic algorithms, bee algorithms, particle swarm optimization, simulated annealing, ant colony optimization, harmony search, and firefly algorithms.
A New Metaheuristic Bat-Inspired Algorithm
TLDR
This paper proposes a new metaheuristic method, the Bat Algorithm, based on the echolocation behaviour of bats, and intends to combine the advantages of existing algorithms into the new bat algorithm.
Firefly Algorithms for Multimodal Optimization
TLDR
Simulations and results indicate that the proposed firefly algorithm is superior to existing metaheuristic algorithms.
Flower Pollination Algorithm for Global Optimization
TLDR
This paper proposes a new algorithm, namely, flower pollination algorithm, inspired by the pollination process of flowers, and uses it to solve a nonlinear design benchmark, which shows the convergence rate is almost exponential.
Firefly algorithm, stochastic test functions and design optimisation
  • Xin-She Yang
  • Business
    Int. J. Bio Inspired Comput.
  • 1 March 2010
TLDR
This paper shows how to use the recently developed firefly algorithm to solve non-linear design problems and proposes a few new test functions with either singularity or stochastic components but with known global optimality and thus they can be used to validate new optimisation algorithms.
Engineering Optimization: An Introduction with Metaheuristic Applications
TLDR
The author highlights key concepts and techniques for the successful application of commonly-used metaheuristc algorithms, including simulated annealing, particle swarm optimization, harmony search, and genetic algorithms.
A literature survey of benchmark functions for global optimisation problems
TLDR
This work has reviewed and compiled a rich set of 175 benchmark functions for unconstrained optimisation problems with diverse properties in terms of modality, separability, and valley landscape, by far the most complete set of functions so far in the literature.
Firefly Algorithm, Lévy Flights and Global Optimization
TLDR
Numerical studies and results suggest that the proposed Levy-flight firefly algorithm is superior to existing metaheuristic algorithms.
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