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
Timetable Optimization for Regenerative Energy Utilization in Subway Systems
TL;DR: To improve RE utilization (REU) in a subway line, a timetable optimization problem is proposed and an improved artificial bee colony (IABC) algorithm is designed to solve it, which helps to improve the timetable currently used in this subway line.
Posted Content
Circle detection using electro-magnetism optimization
TL;DR: In this article, a circle detection method based on electromagnetism-like optimization (EMO) is proposed, which searches a solution based in the attraction and repulsion among prototype candidates.
Journal ArticleDOI
Artificial bee colony algorithm for constrained possibilistic portfolio optimization problem
TL;DR: A new possibilistic mean-semiabsolute deviation model is proposed, in which transaction costs, cardinality and quantity constraints are considered, and a modified artificial bee colony (MABC) algorithm is developed to solve the corresponding optimization problem.
Journal ArticleDOI
A hybrid swarm intelligence based particle-bee algorithm for construction site layout optimization
Li-Chuan Lien,Min-Yuan Cheng +1 more
TL;DR: The results show that the performance of PBA is comparable to those of the mentioned algorithms and can be efficiently employed to solve those hypothetical CSL problems with high dimensionality.
Posted Content
A Multi-threshold Segmentation Approach Based on Artificial Bee Colony Optimization
TL;DR: Experimental results over multiple images with different range of complexity validate the efficiency of the proposed technique with regard to segmentation accuracy, speed, and robustness and demonstrate a better performance from the proposed algorithm.
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.