Yazar "Akkan, Can" için listeleme
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A Bi-criteria Hybrid Genetic Algorithm with Robustness Objective for the Course Timetabling Problem
Akkan, Can; Gülcü, Ayla (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
Akkan, Can; Gülcü, Ayla (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 ... -
Bi-criteria Simulated Annealing for the Curriculum-based Course Timetabling Problem With Robustness Approximation
Akkan, Can; Gülcü, Ayla; Kuş, Zeki (Springer, 2022)In the process of developing a university’s weekly course timetable, changes in the data, such as the available time periods of professors or rooms, render the timetable infeasible, requiring the administrators to repair ... -
Bi-Criteria Simulated Annealing Algorithms for the Robust University Course Timetabling Problem
Gülcü, Ayla; Akkan, Can (PATAT, 2018)A bi-criteria version of the curriculum-based university timetabling problem of ITC-2007 is solved using a multi-objective simulated annealing (MOSA) algorithm that identifies an approximation to the optimal Pareto front. ... -
Minimum Penalty Perturbation Heuristics for Curriculum-Based Timetables Subject to Multiple Disruptions
Akkan, Can; Gülcü, Ayla; Kuş, Zeki (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 ... -
Novel Surrogate Measures Based on a Similarity Network for Neural Architecture Search
Kuş, Zeki; Akkan, Can; Gülcü, Ayla (IEEE, 2023)We propose two novel surrogate measures to predict the validation accuracy of the classification produced by a given neural architecture, thus eliminating the need to train it, in order to speed up neural architecture ... -
Robust University Course Timetabling Problem Subject to Single and Multiple Disruptions
Gülcü, Ayla; Akkan, Can (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 ... -
Search Space Sampling by Simulated Annealing for Identifying Robust Solutions in Course Timetabling
Akkan, Can; Gülcü, Ayla; Kuş, Zeki (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 ...
