Journal ArticleDOI
Chaotic bat algorithm
Amir H. Gandomi,Xin-She Yang +1 more
TLDR
Chaos is introduced into Bat algorithm so as to increase its global search mobility for robust global optimization and results show that some variants of chaotic BAs can clearly outperform the standard BA for these benchmarks.About:
This article is published in Journal of Computational Science.The article was published on 2014-03-01. It has received 445 citations till now. The article focuses on the topics: Bat algorithm & Metaheuristic.read more
Citations
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Book ChapterDOI
Using Bat Algorithm with Levy Walk to Solve Directing Orbits of Chaotic Systems
TL;DR: A new variant named bat algorithm with Gaussian walk is proposed in which the original uniform sample manner is replaced by one Gaussian sample, and results show the modification is superior to other algorithms.
Book ChapterDOI
Modified Multi-Grey Wolf Pack for Vital Sign-Based Disease Identification
TL;DR: This chapter proposes a modified multi grey wolf pack optimization technique (MMGWO) for better generalization and diversification and shows that the proposed MMGWO is significantly superior to other existing techniques.
Proceedings ArticleDOI
A solution to optimal power flow with DC link placement problem using chaotic krill herd algorithm
TL;DR: A DC link placement problem through the DC link equations with the conventional optimal power flow prospect is studied by using a new optimization technique called chaotic krill herd algorithm (CKHA) to solve this problem.
Journal ArticleDOI
Mutational Chemotaxis Motion Driven Moth-Flame Optimizer for Engineering Applications
TL;DR: Zhang et al. as discussed by the authors proposed an enhanced moth-flame optimization algorithm named HMCMMFO, which combines the mechanisms of hybrid mutation and chemotaxis motion, where the hybrid-mutation mechanism can enhance population diversity and reduce the risk of stagnation.
An Efficient TDOA and GROA Localization Mechanism Based on GSO algorithm with Flight Theory
Dong-yao Zou,Bi-wei Liu,Wei Yang +2 more
TL;DR: The simulation results indicate that the proposed localization mechanism has relative higher and stable localization accuracy compared with TDOA algorithm and the proposed algorithm performance of ranging error, the number of reference nodes, Gaussian random variable variance and the root mean square error is higher.
References
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Journal ArticleDOI
Synchronization in chaotic systems
TL;DR: This chapter describes the linking of two chaotic systems with a common signal or signals and highlights that when the signs of the Lyapunov exponents for the subsystems are all negative the systems are synchronized.
Journal ArticleDOI
Simple mathematical models with very complicated dynamics
Robert M. May,Robert M. May +1 more
TL;DR: This is an interpretive review of first-order difference equations, which can exhibit a surprising array of dynamical behaviour, from stable points, to a bifurcating hierarchy of stable cycles, to apparently random fluctuations.
Book
Chaos in dynamical systems
TL;DR: In the new edition of this classic textbook, the most important change is the addition of a completely new chapter on control and synchronization of chaos as mentioned in this paper, which will be of interest to advanced undergraduates and graduate students in science, engineering and mathematics taking courses in chaotic dynamics, as well as to researchers in the subject.
Book
Nature-Inspired Metaheuristic Algorithms
TL;DR: 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.
Book
An introduction to chaotic dynamical systems
TL;DR: In this article, the quadratic family has been used to define hyperbolicity in linear algebra and advanced calculus, including the Julia set and the Mandelbrot set.