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
A Comparative Study of Improved Artificial Bee Colony Algorithms Applied to Multilevel Image Thresholding
TL;DR: IABC/best/1 outperformed the other techniques when all of them were applied to multilevel image thresholding, and the experiments confirmed that IABC/ best/1 is a simple, general, and high performance algorithm.
Journal ArticleDOI
Zebrafish tracking using YOLOv2 and Kalman filter.
Marta de Oliveira Barreiros,Diego de Oliveira Dantas,Luis Claudio de Oliveira Silva,Sidarta Ribeiro,Allan Kardec Barros +4 more
TL;DR: In this paper, a convolutional network of object recognition, YOLOv2, was used to delimit the region of the fish heads to optimize individual fish detection.
Artificial bee colony optimization for the combined heat and power economic dispatch problem
Raghavan Murugan,M.R. Mohan +1 more
TL;DR: This paper presents a new approach for solving the Combined Heat and Economic Dispatch (CHPED) problem using an artificial bee colony algorithm (ABC), a biological inspired optimization that shows more effective than the other optimization algorithms.
Journal ArticleDOI
Hybrid STBC-PTS with enhanced artificial bee colony algorithm for PAPR reduction in MIMO-OFDM system
D. Kumutha,N. Amutha Prabha +1 more
TL;DR: The orthogonal initialization method and suboptimal method in ABC algorithm greatly reduces the PAPR and BER in the OFDM system.
Journal ArticleDOI
Tracking Control of Ball on Sphere System Using Tuned Fuzzy Sliding Mode Controller Based on Artificial Bee Colony Algorithm
TL;DR: In simulations, ball tracking on three predetermined trajectories on sphere shows superiority of FSMC when compared with sliding mode controller (SMC); in a way that the chattering and RMS of its tracking error in the system output are far less than those of SMC.
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.