All Outputs (5)

Adaptive Fuzzy Learning Superpixel Representation for PolSAR Image Classification (2021)
Journal Article

The increasing applications of polarimetric synthetic aperture radar (PolSAR) image classification demand for effective superpixels’ algorithms. Fuzzy superpixels’ algorithms reduce the misclassification rate by dividing pixels into superpixels, whic... Read More about Adaptive Fuzzy Learning Superpixel Representation for PolSAR Image Classification.

Fuzzy Superpixels based Semi-supervised Similarity-constrained CNN for PolSAR Image Classification (2020)
Journal Article

Recently, deep learning has been highly successful in image classification. Labeling the PolSAR data, however, is time-consuming and laborious and in response semi-supervised deep learning has been increasingly investigated in PolSAR image classifica... Read More about Fuzzy Superpixels based Semi-supervised Similarity-constrained CNN for PolSAR Image Classification.

A Multiobjective Computation Offloading Algorithm for Mobile Edge Computing (2020)
Journal Article

In mobile edge computing (MEC), smart mobile devices (SMDs) with limited computation resources and battery lifetime can offload their computing-intensive tasks to MEC servers, thus to enhance the computing capability and reduce the energy consumption... Read More about A Multiobjective Computation Offloading Algorithm for Mobile Edge Computing.

The General Combinatorial Optimization Problem: Towards Automated Algorithm Design (2020)
Journal Article

This paper defines a new combinatorial optimisation problem, namely General Combinatorial Optimisation Problem (GCOP), whose decision variables are a set of parametric algorithmic components, i.e. algorithm design decisions. The solutions of GCOP, i.... Read More about The General Combinatorial Optimization Problem: Towards Automated Algorithm Design.

A variable neighborhood search algorithm with reinforcement learning for a real-life periodic vehicle routing problem with time windows and open routes (2019)
Journal Article

Based on a real-life container transport problem, a model of Open Periodic Vehicle Routing Problem with Time Windows (OPVRPTW) is proposed in this paper. In a wide planning horizon, which is divided into a number of shifts, a fixed number of trucks a... Read More about A variable neighborhood search algorithm with reinforcement learning for a real-life periodic vehicle routing problem with time windows and open routes.