Journal ArticleDOI
A comparative study of Artificial Bee Colony algorithm
Dervis Karaboga,Bahriye Akay +1 more
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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
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A decomposition-based many-objective artificial bee colony algorithm with reinforcement learning
Haitong Zhao,Changsheng Zhang +1 more
TL;DR: A novel decomposition-based Artificial bee colony algorithm for MaOP optimization, MaOABC/D-LA, is presented to enhance the generalization ability, and a variant of the onlooker bee mechanism is proposed to balance the optimization quality.
Journal ArticleDOI
Groundwater Level Prediction for the Arid Oasis of Northwest China Based on the Artificial Bee Colony Algorithm and a Back-propagation Neural Network with Double Hidden Layers
TL;DR: In this article, a back propagation neural network based on the artificial bee colony (ABC) optimization algorithm was established to accurately predict groundwater levels in the overexploited arid areas of Northwest China.
Journal ArticleDOI
Improved Carbohydrate Structure Generalization Scheme for 1H and 13C NMR Simulations
TL;DR: The improved Carbohydrate Structure Generalization Scheme has been developed for the simulation of (13)C and (1)H NMR spectra of oligo- and polysaccharides and their derivatives, including those containing noncarbohydrate constituents found in natural glycans.
Journal ArticleDOI
ABC-based distance-weighted kNN algorithm
TL;DR: The main idea of the hybrid algorithm is to assign random weights over sorted distances of kNN and to find the optimal weights, which achieve better classification performance, which improves the correct classification performance of dW kNN in most data-sets.
Journal ArticleDOI
A novel 2D-ABC adaptive filter algorithm
Serdar Kockanat,Nurhan Karaboga +1 more
TL;DR: A novel 2D artificial bee colony (2D-ABC) adaptive filter algorithm was firstly proposed and it has a better performance than the other classical adaptive filter algorithms and its denoising efficiency is quite well on noisy images with different characteristics.
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.
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.
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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.