Journal ArticleDOI
A comparative study of Artificial Bee Colony algorithm
Dervis Karaboga,Bahriye Akay +1 more
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.About:
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.read more
Citations
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Journal ArticleDOI
Online Evolutionary Swarm Algorithm for Self-Tuning Unmanned Flight Control Laws
TL;DR: In this paper, the inertial tensor of Bcm with respect to I, kg · m, expressed in B I, ki = I gain for proportional integral derivative P, kp = Kp gain for P, qe = quaternion error from B to I r = position, generic, m u = input to the plant v = velocity, generic m∕s v, v,v, v = velocities of B cm with respectto I, m ∕s, expressing in B x, y, z, z = position of
Proceedings ArticleDOI
A comparative study of African Buffalo Optimization and Randomized Insertion Algorithm for asymmetric Travelling Salesman's Problem
TL;DR: After attempting 15 benchmark ATSP cases out of the 19 datasets available in TSPLIB, it was discovered that the African Buffalo Optimization achieves slightly better result to the problems and at a much faster speed.
Journal ArticleDOI
Assessment of risks of tunneling project in Iran using artificial bee colony algorithm
TL;DR: In this article, the risk of the second part of the Emamzade Hashem tunnel was assessed and analyzed in seven sections after testing geotechnical characteristics and clustering of geological units in front of tunneling project.
Journal ArticleDOI
Low-Power FIR Filter Design Using Hybrid Artificial Bee Colony Algorithm with Experimental Validation Over FPGA
TL;DR: A novel EA, i.e., hybrid artificial bee colony algorithm, has been proposed and further applied for FIR filter design, which aims at satisfying the dual objectives of meeting the desired frequency domain specifications and power minimization.
Journal ArticleDOI
Exploration–exploitation balance in Artificial Bee Colony algorithm: a critical analysis
TL;DR: This study critically analyses the functional behaviour of ABC algorithm and finds that the scout bee operator may turn redundant while dealing with high dimensional problems and suggests that the ABC algorithm may be poor in exploration ability too for high-dimensional problems.
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.
Book
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.
Journal ArticleDOI
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
Rainer Storn,Kenneth Price +1 more
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.
Book
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.