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Toplam kayıt 59, listelenen: 21-30
Malware Detection in Android Systems with Traditional Machine Learning Models: A Survey
(IEEE, 2020)
Due to the increased number of mobile devices,
they are integrated in every dimension of our daily life. To
execute some sophisticated programs, a capable operating must
be set up on them. Undoubtedly, Android is the ...
Integer Programming Versus Constraint Programming: a Course Timetabling Case Study
(University of Cincinnati Industrial Engineering, 2019)
In this study, two solution approaches are compared for a real-world, moderate-size but a highly constrained university
course timetabling problem. The first approach is developing an integer programming model and solving ...
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 ...
A Bi-criteria Hybrid Genetic Algorithm with Robustness Objective for the Course Timetabling Problem
(Elsevier, 2018)
Traditional methods of generating timetables may yield high-quality solutions, but they may not yield robust solutions that may easily be adapted to changing inputs. Incorporating late changes by making minimum modifications ...
A Bi-criteria Hybrid Genetic Algorithm with Robustness Objective for the Course Timetabling Problem
(Patat, 2016)
Traditional methods of generating timetables may not yield robust solutions
that may easily be adapted to changing inputs. Incorporating late changes
by making minimum modifications is an important need in many ...
A Novel Collective Crossover Operator for Genetic Algorithms
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Crossover is the main genetic operator which influences
the power of evolutionary algorithms. Among a variety
of crossover operators, there has been a growing interest in
multi-parent crossover operators in evolutionary ...
Neural Network Based Android Malware Detection with Different IP Coding Methods
(IEEE, 2021)
Due to the COVID-19 epidemic that has affected the
whole world, internet use has increased more than in previous
years. Almost all operations and transactions are done over the
internet, especially with the use of ...
Iris Segmentation in Uncooperative and Unconstrained Environments: State-of-the-art, Datasets and Future Research Directions
(Elsevier, 2021)
Most of the classical iris recognition systems require cooperation from users and assume ideal conditions during iris image acquisition. In uncooperative and unconstrained environments, the performance of these classical ...
Search Space Sampling by Simulated Annealing for Identifying Robust Solutions in Course Timetabling
(Institute of Electrical and Electronics Engineers Inc., 2020)
For many combinatorial optimization problems, it
is important to identify solutions that can be repaired without
degrading solution quality in case changes in the data associated
with the constraints make the initial ...