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Journal ArticleDOI

A comparative study of Artificial Bee Colony algorithm

Dervis Karaboga, +1 more
- 01 Aug 2009 - 
- Vol. 214, Iss: 1, pp 108-132
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.
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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.

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Citations
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Journal ArticleDOI

An Entropy-Based Upper Bound Methodology for Robust Predictive Multi-Mode RCPSP Schedules

TL;DR: This paper uses Artificial Bee Colony—an effective and powerful meta-heuristic—to determine a schedule with minimized makespan which serves as a lower bound and uses an objective function that seeks to maximize robustness while staying within the makespan boundaries defined previously and in some cases even below the lower boundary.
Journal ArticleDOI

Time-Dependent Pricing for High-Speed Railway in China Based on Revenue Management

TL;DR: The research results show that the model can flexibly adjust the price and seat allocation of the corresponding ticketing period according to the passenger demand, and increase the total expected revenue by 5.92% without increasing the capacity.
Journal ArticleDOI

Constraint handling technique for four-bar linkage path generation using self-adaptive teaching–learning-based optimization with a diversity archive

TL;DR: An alternative constraint handling technique for the four-bar linkage path generation problem is proposed and it is shown that this new design concept gives better results than those of previous work, and that ATLBO-DA is superior to the original version and other metaheuristic algorithms.
Posted Content

Robust and False Positive Free Watermarking in Iwt Domain Using SVD and Abc

TL;DR: The robustness and security issue of IWT and SVD (singular value decomposition) based watermarking is explored and a novel solution to this false positive problem; that arises in SVD based approach is proposed.
Journal ArticleDOI

Prediction of Heat-Generation and Electromagnetic Parameters from Temperature Response in Porous Fins

TL;DR: In this paper, combined electric and magnetic fields were used for better heat transfer enhancement in a porous fin system, and an inverse estimation technique was established to simultaneously deplete the heat transfer.
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

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.