نتایج جستجو برای: artificial bee colony abc algorithm

تعداد نتایج: 1071629  

2011
Hongkai Wei Junzhong Ji Yufang Qin Yamin Wang Chunnian Liu

In this paper, we propose a novel artificial bee colony(ABC) algorithm for the multidimensional knapsack problems, which introduces the attraction pheromone and presents a transition strategy based on the attraction pheromone. In our algorithm, the scout generates a food source according to the transition strategy and replaces the abandoned food source by comparison with the corresponding elite...

2015
Mohammad Shafiul Alam Md. Monirul Islam Kazuyuki Murase

A proper balance between global explorations and local exploitations is often considered necessary for complex, high dimensional optimization problems to avoid local optima and to find a good near optimum solution with sufficient convergence speed. This paper introduces Artificial Bee Colony algorithm with Adaptive eXplorations and eXploitations (ABC-AX), a novel algorithm that improves over th...

Journal: :Applied Mathematics and Computation 2009
Dervis Karaboga Bahriye Akay

Artificial Bee Colony (ABC) algorithm is one of the most recently introduced swarm-based algorithms. ABC simulates the intelligent foraging behaviour of a honeybee swarm. In this work, ABC is used for optimizing a large set of numerical test functions and the results produced by ABC algorithm are compared with the results obtained by genetic algorithm, particle swarm optimization algorithm, dif...

2014
C. Deepika J. Nithya

Segmentation is one of the essential tasks in image processing. Thresholding is one of the simplest techniques for performing image segmentation. Multilevel thresholding is a simple and effective technique. The primary objective of bi-level or multilevel thresholding for image segmentation is to determine a best thresholding value. To achieve multilevel thresholding various techniques has been ...

2014
Abraham Kiran Joseph

The main objective of an operative testing strategy is the delivery of a reliable and quality oriented software product to the end user. Testing an application entirely from end to end is a time consuming and laborious process. Exhaustive testing utilizes a good chunk of the resources in a project for meticulous scrutiny to identify even a minor bug. A need to optimize the existing suite is hig...

2013
Punam Bajaj Harnoor Kaur

A new population-based search algorithm called the Bees Algorithm (BA) is presented in this paper. The algorithm mimics the food foraging behavior of swarms of honey bees. This algorithm performs a kind of neighborhood search combined with random search and can be used for both combinatorial optimization and functional optimization and with good numerical optimization results. ABC is a meta-heu...

Journal: :Applied Mathematics and Computation 2010
Guopu Zhu Sam Kwong

Artificial bee colony (ABC) algorithm invented recently by Karaboga is a biological-inspired optimization algorithm, which has been shown to be competitive with some conventional biological-inspired algorithms, such as genetic algorithm (GA), differential evolution (DE) and particle swarm optimization (PSO). However, there is still an insufficiency in ABC algorithm regarding its solution search...

Journal: :CoRR 2011
Habib Shah Rozaida Ghazali Nazri Mohd Nawi

Nowadays, computer scientists have shown the interest in the study of social insect’s behaviour in neural networks area for solving different combinatorial and statistical problems. Chief among these is the Artificial Bee Colony (ABC) algorithm. This paper investigates the use of ABC algorithm that simulates the intelligent foraging behaviour of a honey bee swarm. Multilayer Perceptron (MLP) tr...

2013
Mustafa Servet KIRAN Mesut GÜNDÜZ

The artificial bee colony (ABC) algorithm, which was inspired by the foraging and dance behaviors of real honey bee colonies, was first introduced for solving numerical optimization problems. When the solution space of the optimization problem is binary-structured, the basic ABC algorithm should be modified for solving this class of problems. In this study, we propose XOR-based modification for...

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