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
Review of numerical optimization techniques for meta-device design [Invited]
Sawyer D. Campbell,David Sell,Ronald P. Jenkins,Eric B. Whiting,Jonathan A. Fan,Douglas H. Werner +5 more
TL;DR: An introduction to and a review of several of the most popular techniques currently used for meta-device design, as well as emerging techniques like topology optimization and multi-objective optimization and their context to device design are thoroughly discussed.
Journal ArticleDOI
Solar energy forecasting based on hybrid neural network and improved metaheuristic algorithm
TL;DR: A new forecast approach based on combination of a neural network with a metaheuristic algorithm as the hybrid forecasting engine and a 2‐stage feature selection filter based on the information‐theoretic criteria of mutual information and interaction gain, which filters out the ineffective input features is proposed.
Journal ArticleDOI
The Social Engineering Optimizer (SEO)
TL;DR: This paper aims to develop a simple, intelligent and new single-solution algorithm that has just four main steps and three simple parameters to tune that shows its superiority in comparison with other well-known and recent meta-heuristics.
Journal ArticleDOI
Software defect prediction using cost-sensitive neural network
Ömer Faruk Arar,Kürşat Ayan +1 more
TL;DR: The experimental results showed that a cost-sensitive neural network can be created successfully by using the ABC optimization algorithm for the purpose of software defect prediction, and a different classification approach for this problem is proposed.
Journal ArticleDOI
A directed artificial bee colony algorithm
Mustafa Servet Kiran,Oğuz Findik +1 more
TL;DR: A new method based on artificial bee colony (ABC) algorithm is proposed that is more effective than some classical variants of ABC algorithm and successful in terms of solution quality, robustness and convergence to global optimum.
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.