نتایج جستجو برای: bees optimization algorithm

تعداد نتایج: 973933  

Journal: :J. Inf. Sci. Eng. 2016
Jenn-Long Liu Chung-Chih Li

This work proposes an improved artificial bee colony (ABC) algorithm, called the rank-based ABC algorithm, which includes a rank-based selection mechanism in the onlooker bees phase and a modified abandonment mechanism in the scout bees phase for solving unconstrained and constrained optimization problems. In the onlooker bees phase, the probability that an onlooker bee selects a food source is...

2012
V. Selvi

SI is a computational and collective behavioral metaphor that is used for solving problems. The problems can be solved by SI by taking ants, termites, bees and wasps as an example. The application of SI algorithm are ACO, PSO and ABC which have been already applied to solve real world optimization problems in engineering. ACO is a member of SI in which ACO is inspired by the behaviour of ant co...

2013

Due to sporadic climate change and global warming, world have signed international protocols promising to reduce their nation's emissions. This study focuses on the application of the bees algorithm, embedded with an artificial neural network, to determine practical yearly reductions for minimizing oil, natural gas, and coal emissions as by-products of energy consumption in Canada's manufacturi...

Journal: :IJIEM (Indonesian Journals of Industrial Engineering and Management) 2023

Honey bee colonies depend on pollen and nectar from flowers for their feed. The act of searching this by the bees is called foraging. foraging behaviour depends profitability sources as well needs colony. This modeled into an algorithm Foraging Bee Optimization Algorithm (FBA). After initialization, loops through three phases based bees’ nature 3W: Waggle, Work, Withdraw. A large number are ini...

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...

Journal: :International Journal of Simulation Modelling 2007

2012
Tajinder Singh Mandeep Kaur Sandhu Z. Li H. Tong Hélène Waeselynck Pascale Thévenod-Fosse Olfa Abdellatif-Kaddour Michael Grottke Kishor S. Trivedi Mohammad Fathian Babak Amiri Rudolf Ramler Klaus Wolfmaier

So many techniques are used in the software testing environment and in this paper we survey the ABC algorithmic approach and its advantages over the GA (Genetic Algorithms). Artificial bee colony (ABC) algorithm is one of the most recently introduced swarm–based algorithms. These optimization approaches helps in memorization and also support the global optima. This algorithm is based on colony ...

2009
Jiann-Horng Lin Li-Ren Huang

Artificial Bee Colony algorithm is an optimization algorithm based on the intelligent behavior of honey bee swarm. This paper presents Bee Swarm Optimization intended to introduce chaotic sequences and psychology factor of emotion into the algorithm. We define two emotions Bees could have, positive and negative, and correspond to two reaction to perception respectively. For avoiding premature c...

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