Yayıncı "Elsevier" Bilgisayar Mühendisliği Bölümü için listeleme
Toplam kayıt 13, listelenen: 1-13
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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 Bioinspired Discrete Heuristic Algorithm to Generate the Eeffective Structural Model of a Program Source Code
(Elsevier, 2023)When the source code of a software is the only product available, program understanding has a substantial influence on software maintenance costs. The main goal in code comprehension is to extract information that is ... -
Deep Learning With Class-Level Abstract Syntax Tree and Code Histories for Detecting Code Modification Requirements
(Elsevier, 2023)Improving code quality is one of the most significant issues in the software industry. Deep learning is an emerging area of research for detecting code smells and addressing refactoring requirements. The aim of this study ... -
Differential Evolution-Based Neural Architecture Search for Brain Vessel Segmentation
(Elsevier, 2024)Brain vasculature analysis is critical in developing novel treatment targets for neurodegenerative diseases. Such an accurate analysis cannot be performed manually but requires a semi-automated or fully-automated approach. ... -
Dynamic Multi-Objective Evolutionary Algorithms in Noisy Environments
(Elsevier, 2023)Real-world multi-objective optimization problems encounter different types of uncertainty that may affect the quality of solutions. One common type is the stochastic noise that contaminates the objective functions. Another ... -
Experimental Analysis of A Statistical Multiploid Genetic Algorithm for Dynamic Environments
(Elsevier, 2022)Dynamic environments are still a big challenge for optimization algorithms. In this paper, a Genetic Algorithm using both Multiploid representation and the Bayesian Decision method is proposed. By Multiploid representation, ... -
Experimental Evaluation of Meta-Heuristics for Multi-Objective Capacitated Multiple Allocation Hub Location Problem
(Elsevier, 2022)Multi-objective capacitated multiple allocation hub location problem (MOCMAHLP) is a variation of classic hub location problem, which deals with network design, considering both the number and the location of the hubs ... -
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 ... -
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 ... -
A Novel Intelligent Traffic Recovery Model for Emergency Vehicles Based on Context-aware Reinforcement Learning
(Elsevier, 2023)Management of traffic emergencies has become very popular in recent years. However, timely response to emergencies and recovering from an emergency is an important prob- lem in itself. The strategies in the current ... -
PSCSO: Enhanced Sand Cat Swarm Optimization Inspired by the Political System to Solve Complex Problems
(Elsevier, 2023)The Sand Cat Swarm Optimization (SCSO) algorithm is a recently introduced metaheuristic with balanced behavior in the exploration and exploitation phases. However, it is not fast in convergence and may not be successful ... -
Radar Placement Optimization Based on Adaptive Multi-Objective Meta-Heuristics
(Elsevier, 2024)Airspace surveillance is a significant issue for many countries to control and manage their airspace. The number of radars used and their coverage rate are the main issues to consider in this case. Therefore, this paper ... -
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 ...