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Toplam kayıt 371, listelenen: 21-40
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A discrete harmony search algorithm for the economic lot scheduling problem with power of two policy
(2012 IEEE Congress on Evolutionary Computation, CEC 2012, 2012)In this paper, we present a problem specific discrete harmony search (DHS) algorithms to solve the economic lot scheduling problem (ELSP) under the extended basic period (EBP) approach and power-of-two (PoT) policy. In ... -
A dual circularly polarized omnidirectional receiver antenna for satellite communication
(Progress in Electromagnetics Research Symposium, 2017)This study describes about an omnidirectional antenna for satellite communication applications possessing dual circular polarization at almost over the full azimuth plane and wide elevation plane. The antenna does not use ... -
A dynamic berth allocation problem with priority considerations under stochastic nature
(Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011)Stochastic nature of vessel arrivals and handling times adds to the complexity of the well-known NP-hard berth allocation problem. To aid real decision-making under customer differentiations, a dynamic stochastic model ... -
A fast radar target identification method using SVD noise reduction technique and PMUSIC profiles [TDA gürültü azaltma tekni̇gi̇ ve pmusic profi̇lleri̇ kullanan hizli bi̇r radar hedef ayirtetme yöntemi̇]
(2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011, 2011)In this paper, a fast radar target identification method suitable for real-time applications will be presented. The indicated method mainly uses singular value decomposition (SVD) based noise reduction technique and ... -
A feature selection application using particle swarm optimization for learning concept detection
(Advances in Intelligent Systems and Computing, 2017)Recent developments of computational intelligence on educational technology yield concept map mining as a new research area. Concept map mining covers the extraction of learning concepts, specifying relations among them, ... -
A framework model for data reliability in wireless sensor networks [Kablosuz Algilayici Aglarda Veri Güvenilirligi Için Bir ÇerçEve Model]
(2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings, 2016)In this study a model for data reliability in wireless sensor networks is proposed, in which machine learning methods are used. Proposed framework includes data modelling, missing data prediction, anomaly detection, data ... -
A Framework of Route Selection for Hazardous Goods Transportation in Tunnels
(Lecture Notes in Mechanical Engineering, 2020)Due to the increase in globalization, higher customer expectations and environment volatility, supply chains are exposed to risks more easily. Therefore, supply chain risk management become a crucial issue for companies ... -
A general variable neighborhood search algorithm for the no-idle permutation flowshop scheduling problem
(Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013)In this study, a general variable neighborhood search (GVNS) is presented to solve no-idle permutation flowshop scheduling problem (NIPFS), where idle times are not allowed on machines. GVNS is a metaheuristic, where inner ... -
A General Variable Neighborhood Search for the NoIdle Flowshop Scheduling Problem with Makespan Criterion
(2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019, 2019)This paper proposes a novel general variable neighborhood search (GVNS) algorithm to solve the no-idle flowshop scheduling problem with the makespan criterion. The initial solution of the GVNS is generated using the FRB5 ... -
A genetic algorithm for the economic lot scheduling problem under extended basic period approach and power-of-two policy
(Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011)In this study, we propose a genetic algorithm (GA) for the economic lot scheduling problem (ELSP) under extended basic period (EBP) approach and power-of-two (PoT) policy. The proposed GA employs a multi-chromosome solution ... -
A Hybrid Flow Shop Scheduling Problem
(Lecture Notes in Mechanical Engineering, 2020)Hybrid flow shop environment generally refers to the flow shop with multiple parallel machines per stage. Hybrid flow shop scheduling problem (HFSP) is a complex combinatorial optimization problem that came across in many ... -
A Ku-band omnidirectional circularly polarized antenna for telemetry applications in satellite communication
(2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2015 - Proceedings, 2015)Ku-band is a frequently used frequency band especially satellite communication application. Telemetry systems collecting measurement or other kind of data are important part especially in the space segment of satellite ... -
A layered security approach for cloud computing infrastructure
(I-SPAN 2009 - The 10th International Symposium on Pervasive Systems, Algorithms, and Networks, 2009)This paper introduces a practical security model based on key security considerations by looking at a number of infrastructure aspects of Cloud Computing such as SaaS, Utility, Web, Platform and Managed Services, Service ... -
A Long-term Period Performance Assessment of a Building Integrated Photovoltaic System
(E3S Web of Conferences, 2019)Building Integrated Photovoltaic (BIPV) systems can be defined as PV modules, which can be integrated in building's envelope by replacing conventional building materials such as windows, tiles etc. and have an impact on ... -
A low cost manipulator training set
(2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018, 2018)Manipulators serve worldwide to increase quality requirements and speed up the production of the manufacturing industry. Typical applications of manipulators include welding, painting, ironing, assembly, picking and placing, ... -
A memetic algorithm for the bi-objective quadratic assignment problem
(Procedia Manufacturing, 2019)Recently, multi-objective evolutionary algorithms (MOEAs) have been extensively used to solve multi-objective optimization problems (MOPs) since they have the ability to approximate a set of non-dominated solutions in ... -
A memetic algorithm with a variable block insertion heuristic for single machine total weighted tardiness problem with sequence dependent setup times
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016)In this paper, a memetic algorithm with a variable block insertion heuristic is presented to solve the single machine total weighted tardiness problem with sequence dependent setup times. Together with the traditional ...