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Journal ArticleDOI

A comparative study of Artificial Bee Colony algorithm

Dervis Karaboga, +1 more
- 01 Aug 2009 - 
- Vol. 214, Iss: 1, pp 108-132
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TLDR
Results show that the performance of the ABC is better than or similar to those of other population-based algorithms with the advantage of employing fewer control parameters.
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This article is published in Applied Mathematics and Computation.The article was published on 2009-08-01. It has received 2835 citations till now. The article focuses on the topics: Artificial bee colony algorithm & Meta-optimization.

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Journal ArticleDOI

Tuning of optimal fractional-order PID controller using an artificial bee colony algorithm

TL;DR: It is shown that the design of fractional-order PID controller can be solved heuristically using an artificial bee colony (ABC) algorithm, which is a recently emerged ‘stochastic’ technique inspired from the intelligent foraging behavior of honey bee swarm.
Journal ArticleDOI

An improved global best guided artificial bee colony algorithm for continuous optimization problems

TL;DR: An improved ABC (namely IABC) is proposed to strengthen the performance of GABC, where the onlooker bees use a modified solution search equation to improve the exploitation capability.
Journal ArticleDOI

Battery thermal management: An optimization study of parallelized conjugate numerical analysis using Cuckoo search and Artificial bee colony algorithm

TL;DR: In this article, single and multi-objective optimization of thermal management characteristics, namely maximum temperature (Tb, max), average Nusselt number (Nuavg), and coefficient of friction (Fcavg) using Cuckoo search (CS) and artificial bee colony (ABC) algorithm is attempted.
Journal ArticleDOI

A novel hybrid bat algorithm for solving continuous optimization problems

TL;DR: A novel Hybrid Bat Algorithm (HBA) is proposed to improve the performance of BA and three modification methods are incorporated into the standard BA to enhance the local search capability and the ability to escape from local optimum traps.
Journal ArticleDOI

Digital image watermarking using partial pivoting lower and upper triangular decomposition into the wavelet domain

TL;DR: A digital image watermarking algorithm using partial pivoting lower and upper triangular (PPLU) decomposition is proposed and is highly reliable with better imperceptibility of the embedded image and computationally efficient compared with recently existed methods.
References
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Proceedings ArticleDOI

Particle swarm optimization

TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
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Adaptation in natural and artificial systems

TL;DR: Names of founding work in the area of Adaptation and modiication, which aims to mimic biological optimization, and some (Non-GA) branches of AI.
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Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces

TL;DR: In this article, a new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented, which requires few control variables, is robust, easy to use, and lends itself very well to parallel computation.
Book

Self-Organizing Maps

TL;DR: The Self-Organising Map (SOM) algorithm was introduced by the author in 1981 as mentioned in this paper, and many applications form one of the major approaches to the contemporary artificial neural networks field, and new technologies have already been based on it.
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Genetic Algorithms + Data Structures = Evolution Programs

TL;DR: GAs and Evolution Programs for Various Discrete Problems, a Hierarchy of Evolution Programs and Heuristics, and Conclusions.