نتایج جستجو برای: bee colony optimization

تعداد نتایج: 379351  

2012
Mohammad Alamery Seyyed Javadi

Multi-join query optimization is an important technique for designing and implementing database management system. It is a crucial factor that affects the capability of database. This paper proposes a Bees algorithm that simulates the foraging behavior of honey bee swarm to solve Multi-join query optimization problem. The performance of the Bees algorithm and Ant Colony Optimization algorithm a...

2010
Mohammad Alamery Ahmad Faraahi Hamid Haj Seyyed Javadi Sadegh Nourossana Hossein Erfani

Multi-join query optimization is an important technique for designing and implementing database management system. It is a crucial factor that affects the capability of database. This paper proposes a Bees algorithm that simulates the foraging behavior of honey bee swarm to solve Multi-join query optimization problem. The performance of the Bees algorithm and Ant Colony Optimization algorithm a...

2014
Mustafa Servet Kiran Mesut Gündüz

Artificial bee colony (ABC) algorithm is one of the popular swarm intelligence algorithms. ABC has been developed by being inspired foraging and waggle dance behaviors of real bee colonies in 2005. Since its invention in 2005, many ABC models have been proposed in order to solve different optimization problems. In all the models proposed, there are only one scout bee and a constant limit value ...

2007
Dervis Karaboga Bahriye Basturk

This paper presents the comparison results on the performance of the Artificial Bee Colony (ABC) algorithm for constrained optimization problems. The ABC algorithm has been firstly proposed for unconstrained optimization problems and showed that it has superior performance on these kind of problems. In this paper, the ABC algorithm has been extended for solving constrained optimization problems...

Journal: :The Journal of chemical physics 2012
Christoph Wehmeyer Guido Falk von Rudorff Sebastian Wolf Gabriel Kabbe Daniel Schärf Thomas D Kühne Daniel Sebastiani

We present a stochastic, swarm intelligence-based optimization algorithm for the prediction of global minima on potential energy surfaces of molecular cluster structures. Our optimization approach is a modification of the artificial bee colony (ABC) algorithm which is inspired by the foraging behavior of honey bees. We apply our modified ABC algorithm to the problem of global geometry optimizat...

2014
J. R Nisha Anto Kumar

The most common way to enforce access control is user authentication based on username and password. This form of access control has many flaws which make it vulnerable to hacking. Biometric authentication such as the keystroke dynamics is used in which the keyboard is used in order to identify users. Then the classifier is tailored to each user to find out whether the given user is genuine or ...

2014
Sandeep Kumar Rajani Kumari

Artificial Bee Colony (ABC) is a swarm optimization technique. This algorithm generally used to solve nonlinear and complex problems. ABC is one of the simplest and up to date population based probabilistic strategy for global optimization. Analogous to other population based algorithms, ABC also has some drawbacks computationally pricey due to its sluggish temperament of search procedure. The ...

2016
Imane M. A. Fahmy Hesham A. Hefny Laila Nassef

In this paper, the previously proposed Predictive Energy Efficient Bee-inspired Routing (PEEBR) family of routing optimization algorithms based on the Artificial Bees Colony (ABC) Optimization model is extended from a random static mobility model, as employed by its first version (PEEBR1), into a random mobility model in its second version (PEEBR2). This random mobility model used by PEEBR-2 al...

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