Journal ArticleDOI
A comparative study of Artificial Bee Colony algorithm
Dervis Karaboga,Bahriye Akay +1 more
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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
Co-clustering optimization using Artificial Bee Colony (ABC) algorithm
TL;DR: This paper incorporates aspects of co-clustering by embedding it into the objective function used for clustering by the ABC algorithm and proposes the use of higher order correlations to build similarity between rows and columns, each based on the other.
Journal ArticleDOI
Optimization of a modified double-turbine Kalina cycle by using Artificial Bee Colony algorithm
TL;DR: In this article, a modified low-temperature double-turbine Kalina cycle system is designed to boost thermal efficiency by adding heat to the output liquid ammonia-water mixture from the first separator.
Journal ArticleDOI
Adaptive modeling of maritime autonomous surface ships with uncertainty using a weighted LS-SVR robust to outliers
TL;DR: In identifying the widely-used response model for ships, the optimal DW-LSSVR method is verified and validated on both experimental measurements and simulated data, and the effectiveness of the proposed method in identifying the response model has been demonstrated.
Proceedings ArticleDOI
Optimal placement and sizing of DG for power loss minimization and VSI improvement using bat algorithm
Ram Prakash,B.C. Sujatha +1 more
TL;DR: In this paper, Bat Algorithm (BA) with varying loudness and pulse rate is proposed for the optimal location and sizing of DG in radial distribution system in order to minimize real power losses and maximize voltage stability index (VSI), along with improving voltage profile within the range of the voltage constraint.
Posted Content
Hybrid data clustering approach using K-Means and Flower Pollination Algorithm.
R. Jensi,G. Wiselin Jiji +1 more
TL;DR: A novel hybrid data clustering approach using Flower Pollination Algorithm and K-Means (FPAKM) is proposed and the proposed algorithm results are compared with K- means and FPA on eight datasets.
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.