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Toplam kayıt 44, listelenen: 1-10
An LED-Based Super Resolution GPU Implemented Structured Illumination Microscope
(SPIEDigital Library, 2020)
Fluorescence imaging of sub-cellular structures with sizes below the di raction limit is vital in understanding cellular
processes. Relying on exciting the sample with di erent illumination patterns and image processing ...
An Improved Vantage Point Bees Algorithm to Solve Combinatorial Optimization Problems from TSPLIB
(Wiley, 2021)
This paper presents an improved version of the Vantage Point Bees Algorithm
(VPBA-II), which is implemented to solve the Travelling Salesman Problem.
The Vantage Point Tree has been used to produce initial tour solutions ...
Combinatorial Bees Algorithm for Vehicle Routing Problem
(Wiley, 2021)
Vehicle routing problem (VRP) is a combinatorial optimization problem that
has been studied intensively for years. Although VRP can be solved using an
exact method for small instances, a more complex one will be impractical ...
Recommending Healthy Meal Plans by Optimising Nature-Inspired Many-Objective Diet Problem
(SAGE, 2021)
Healthy eating is an important issue affecting a large part of the world population, so human diets are
becoming increasingly popular, especially with the devastating consequences of Coronavirus Disease
(Covid-19). A ...
Clustering Electricity Market Participants Via FRM Models
(IOS Press, 2020)
Collateral mechanism in the Electricity Market ensures the payments are executed on a timely manner; thus maintains
the continuous cash flow. In order to value collaterals, Takasbank, the authorized central settlement ...
Minimum Penalty Perturbation Heuristics for Curriculum-Based Timetables Subject to Multiple Disruptions
(Elsevier, 2021)
Course timetables are often rendered infeasible due to unexpected changes in requirements and must be
repaired. Given an initial timetable, planners prefer a repaired timetable whose quality is worsened as little as
possible ...
Robust University Course Timetabling Problem Subject to Single and Multiple Disruptions
(Elsevier, 2020)
University course timetables are often finalized in stages, in between which, changes in the data make the earlier version infeasible. As each version is announced to the community, it is desirable to have a robust initial ...
Multi-Objective Simulated Annealing for Hyper-Parameter Optimization in Convolutional Neural Networks
(PeerJ, Inc., 2021)
In this study, we model a CNN hyper-parameter optimization problem as a
bi-criteria optimization problem, where the first objective being the classification
accuracy and the second objective being the computational ...
Hyper-Parameter Selection in Convolutional Neural Networks Using Microcanonical Optimization Algorithm
(The Institute of Electrical and Electronics Engineers, 2020)
The success of Convolutional Neural Networks is highly dependent on the selected architecture
and the hyper-parameters. The need for the automatic design of the networks is especially important
for complex architectures ...
An Improved Bees Algorithm for Training Deep Recurrent Networks for Sentiment Classification
(MDPI, 2021)
Recurrent neural networks (RNNs) are powerful tools for learning information from
temporal sequences. Designing an optimum deep RNN is difficult due to configuration and training
issues, such as vanishing and exploding ...