Parallel optimization based on artificial bee colony algorithm
D Li, Y Feng, J Zhong, J Zhou, L Yin… - 2017 IEEE 2nd …, 2017 - ieeexplore.ieee.org
This paper aims to tackle the shortcomings of the standard artificial bee colony algorithm
(ABC) such as slow convergence, long solving time and being easy to fall into local optima …
(ABC) such as slow convergence, long solving time and being easy to fall into local optima …
Parallelizing convolutional neural network for the handwriting recognition problems with different architectures
J Zhou, W Chen, G Peng, H **ao… - … on Progress in …, 2017 - ieeexplore.ieee.org
As the convolutional neural network (CNN) algorithm is proved to be uncomplicated in the
image preconditioning and relatively simple train the original image, it has become popular …
image preconditioning and relatively simple train the original image, it has become popular …
[PDF][PDF] The generalization of the Vehicle Routing Problem: Mathematical model, ontology, algorithms, fitness landscape analysis and applications
A Agárdi - 2023 - 193.6.1.94
One of the most important tasks of logistics is the cost-effective delivery of the right products
to the right place at the right time. The Vehicle Routing Problem (VRP) is a transportation …
to the right place at the right time. The Vehicle Routing Problem (VRP) is a transportation …
Green Parallel Metaheuristics: Design, Implementation, and Evaluation
A Abdelhafez - 2020 - riuma.uma.es
Green parallel metaheuristics (GPM) is a new concept we want to introduce in this thesis. It
is an idea inspired by two facts:(i) parallel metaheuristics could help as unique tools to solve …
is an idea inspired by two facts:(i) parallel metaheuristics could help as unique tools to solve …