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 robust HDR images watermarking method using artificial bee colony algorithm
TL;DR: A robust watermarking method for High Dynamic Range Images (HDRIs) and the results have shown the superiority of the proposed algorithm to some state of the art methods.
Journal ArticleDOI
Investigations on Metaheuristic Algorithm for Designing Adaptive PID Controller for Continuous Stirred Tank Reactor
Harsh Goud,Pankaj Swarnkar +1 more
TL;DR: Design of the Proportional-Integral-Derivative (PID) controller using conventional and metaheuristic methods for the temperature control of the Continuous Stirred Tank Reactor is presented.
Journal Article
Optimized ready mixed concrete truck scheduling for uncertain factors using bee algorithm
TL;DR: The simulation results show that the BA approach can find the optimal solution better than GA in terms of efficiency and accuracy for all problems, and offers a more efficient alternative for solving RMC truck scheduling.
Journal ArticleDOI
Artificial bee colony directive for continuous optimization
Hsing-Chih Tsai,Hsing-Chih Tsai +1 more
TL;DR: This paper fundamentally modifies the solution search equations of the ABC in a manner that sends bee agents in search of three types of search regions that improve convergence speeds and proposes an innovative ABCD algorithm.
Journal ArticleDOI
Artificial bee colony optimization for modelling of indoor PLC channels: A case study from Turkey
TL;DR: Results show that the PLC channel model proposed in this study can be utilized to simulate PLC systems and to perform conformance tests of prototypes.
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.