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Journal ArticleDOI

Chaotic bat algorithm

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.

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Citations
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Journal ArticleDOI

A survey on new generation metaheuristic algorithms

TL;DR: In this survey, fourteen new and outstanding metaheuristics that have been introduced for the last twenty years other than the classical ones such as genetic, particle swarm, and tabu search are distinguished.
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Bio inspired computing - A review of algorithms and scope of applications

TL;DR: This review identifies the popularly used algorithms within the domain of bio-inspired algorithms and discusses their principles, developments and scope of application, which would pave the path for future studies to choose algorithms based on fitment.
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Chaotic whale optimization algorithm

TL;DR: Chaos theory is introduced into WOA optimization process to enhance the global convergence speed and to get better performance, and the results prove that the chaotic maps are able to improve the performance of WOA.
Journal ArticleDOI

A comprehensive survey: Whale Optimization Algorithm and its applications

TL;DR: An overview of WOA is described in this paper, rooted from the bubble-net hunting strategy, besides an overview ofWOA applications that are used to solve optimization problems in various categories.
Journal ArticleDOI

A novel chaotic salp swarm algorithm for global optimization and feature selection

TL;DR: A novel hybrid solution based on SSA and chaos theory is proposed and it is shown that logistic chaotic map is the optimal map of the used ten, which can significantly boost the performance of original SSA.
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

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

Xin-She Yang
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.