نتایج جستجو برای: artificial bee colony

تعداد نتایج: 351883  

2014
Ruchika Malhotra Chand Anand Nikita Jain Apoorva Mittal

One of the essential parts of the software development process is software testing as it ensures the delivery of a good quality and reliable software. Various techniques and algorithms have been developed to carry out the testing process. This paper deals with utility of the nature based algorithms namely Genetic Algorithm, Ant Colony Optimization algorithm and Artificial Bee Colony algorithm i...

2012
S. Talatahari M. Nouri

Over the past few years, swarm intelligence based optimization techniques such as ant colony optimization and particle swarm optimization have received considerable attention from engineering researchers. These algorithms have been used in the solution of various structural optimization problems where the main goal is to minimize the weight of structures while satisfying all design requirements...

Journal: :CoRR 2014
Sandeep Kumar Vivek Kumar Sharma Rajani Kumari

Artificial Bee Colony (ABC) is a distinguished optimization strategy that can resolve nonlinear and multifaceted problems. It is comparatively a straightforward and modern population based probabilistic approach for comprehensive optimization. In the vein of the other population based algorithms, ABC is moreover computationally classy due to its slow nature of search procedure. The solution exp...

Journal: :Mathematical Problems in Engineering 2013

Journal: :Journal of Computer Science and Technology 2018

Journal: :International Journal of Machine Learning and Computing 2015

Journal: :Edusaintek 2023

Damage to Retinal Nerve Fiber Layer can Cause Glaucoma. Glaucoma is an inflammation of the optic eye which characterized by progressive deterioration Optic Head and field view. Problems that require a classification solution are hindered large data dimensions. Artificial Bee Colony one evolution algorithms widely used for feature selection optimization. Gray level Coocurrence matrix as extracti...

Journal: :Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 2018

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