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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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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.
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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.
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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

Chaotic characteristics of a one-dimensional iterative map with infinite collapses

TL;DR: In this article, a one-dimensional iterative chaotic map with infinite collapses within a symmetrical region was proposed, and the stability of fixed points and that around the singular point were analyzed.
Book

Metaheuristic Applications in Structures and Infrastructures

TL;DR: This book examines the latest developments of metaheuristics and their applications in structural engineering, construction engineering and earthquake engineering, offering practical case studies as examples to demonstrate real-world applications.
BookDOI

Nature Inspired Cooperative Strategies for Optimization (NICSO 2010)

TL;DR: The NICSO 2010 workshop as mentioned in this paper was conceived as a forum for the latest ideas and the state-of-the-art research related to nature inspired cooperative strategies, including genetic algorithms, evolutionary algorithms, Ant and Bee Colonies, Swarm Intelligence approaches, Neural Networks, several Cooperation Models, Structures and Strategies, Agents Models, Social Interactions, as well as new algorithms based on the behaviour of fireflies or bats.
Journal ArticleDOI

A novel Hash algorithm construction based on chaotic neural network

TL;DR: Theoretical analysis and computer simulation indicate that the proposed algorithm presents several interesting features, such as high message and key sensitivity, good statistical properties, collision resistance and secure against meet-in-the-middle attacks, which can satisfy the performance requirements of Hash function.
Journal ArticleDOI

Scheduling of scientific workflows using a chaos-genetic algorithm

TL;DR: A novel genetic algorithm called chaos-genetic algorithm is used to solve the scheduling problem considering both user’s budget and deadline and showed greater performances of CGS compared to traditional genetic algorithm (TGS) on both balanced and unbalanced workflows.