Kurum Yazarı "Baklacıoğlu, Tolga" Makale Koleksiyonu İçin Listeleme
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Aero-propulsive modelling for climb and descent trajectory prediction of transport aircraft using genetic algorithms
Baklacıoğlu, Tolga; Cavcar, Mustafa (Royal Aeronautical Society, 2014)In this study, a new aero-propulsive model (APM) was derived from the flight manual data of a transport aircraft using Genetic Algorithms (GAs) to perform accurate trajectory predictions. This new GA-based APM provided ... -
Aero-propulsive modelling for climb and descent trajectory prediction transport aircraft using genetic algorithms
Baklacıoğlu, Tolga; Cavcar, Mustafa (Royal Aeronautical Soc, 2014)In this study, a new aero-propulsive model (APM) was derived from the flight manual data of a transport aircraft using Genetic Algorithms (GAs) to perform accurate trajectory predictions. This new GA-based APM provided ... -
Dynamic modeling of exergy efficiency of turboprop engine components using hybrid genetic algorithm-artificial neural networks
Baklacıoğlu, Tolga; Turan, Önder; Aydın, Hakan (Pergamon-Elsevier Science LTD, 2015)Genetic algorithm is utilized to design the optimum initial value of parameters and topology of the artificial neural network which is trained by applying the improved backpropagation algorithm using momentum factor so as ... -
Energetic and exergetic efficiency modeling of a cargo aircraft by a topology improving neuro-evolution algorithm
Baklacıoğlu, Tolga; Aydın, Hakan; Turan, Önder (Pergamon-Elsevier Science LTD, 2016)An aircraft is a complex system that requires methodologies for an efficient thermodynamic design process. So, it is important to gain a deeper understanding of energy and exergy use throughout an aircraft. The aim of this ... -
Metaheuristic and Machine Learning Models for TFE-731-2, PW4056, and JT8D-9 Cruise Thrust
Baklacıoğlu, Tolga (Walter De Gruyter GMBH, 2017)The requirement for an accurate engine thrust model has a major antecedence in airline fuel saving programs, assessment of environmental effects of fuel consumption, emissions reduction studies, and air traffic management ... -
UAV path planning using segmented cellular evolutionary algorithm
Gezer, Ahmet; Turan, Önder; Baklacıoğlu, Tolga (Inderscience Enterprises LTD, 2016)Path planning is one of the most important issues for sustainable development of unmanned aerial vehicles (UAVs). The aim of the path planning is to provide the shortest and safest route. In this study, an algorithm has ...