Journal ArticleDOI
A comparative study of Artificial Bee Colony algorithm
Dervis Karaboga,Bahriye Akay +1 more
Reads0
Chats0
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
More filters
Journal ArticleDOI
An improved artificial bee colony optimization algorithm based on orthogonal learning for optimal power flow problem
TL;DR: In this article, the improved Artificial Bee Colony (IABC) was used to solve the OPF problem in electric power grids. But, the problem of finding the best combination of two solution vectors based on limited trials instead of exhaustive trials was not addressed.
Journal ArticleDOI
A ranking-based adaptive artificial bee colony algorithm for global numerical optimization
TL;DR: A ranking-based adaptive ABC algorithm (ARABC), in which food sources are selected by bees to search, and the parent food sources used in the solution search equation are all chosen based on their rankings, which is adaptively adjusted according to the status of the population evolution.
Journal ArticleDOI
Intelligent Systems in Optimizing Reservoir Operation Policy: A Review
TL;DR: The potentiality of the evolutionary algorithms (EAs) and the ability to integrate with other techniques which can provide the best results are discussed and comparative results with other popular methods are discussed on the basis of past research results.
Journal ArticleDOI
Artificial intelligence in the field of nanofluids: A review on applications and potential future directions
TL;DR: For the first time, a comprehensive review of the AI algorithms developed to investigate different issues related to nanofluids is conducted and reveals the high potential of AI methods as tools for the prediction and optimization in nan ofluids.
Journal ArticleDOI
XOR-based artificial bee colony algorithm for binary optimization
TL;DR: In this article, the authors proposed a modification for the solution-updating equation of the ABC algorithm to solve binary optimization problems, and the proposed method, named binary ABC (binABC), is examined on an uncapacitated facility location problem, which is a pure binary optimization problem.
References
More filters
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.