Güncel Gönderiler: Bildiri Koleksiyonu
Toplam kayıt 37, listelenen: 21-37
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A sharp augmented Lagrangian-based method in constrained non-convex optimization
(Taylor & Francis LTD, 2019)In this paper, a novel sharp Augmented Lagrangian-based global optimization method is developed for solving constrained non-convex optimization problems. The algorithm consists of outer and inner loops. At each inner ... -
Ranking the Technical Requirements of the Airport for Maximum Passenger Satisfaction
(Springer-Verlag Berlin, 2013)Airport service quality is crucial due to the increasing traveling by plane, nowadays. There are some studies on the passengers satisfaction in literature. But lots of them are related to determine the passengers' needs ... -
Max Margin Polyhedral Conic Function Classifier
(IEEE, 2016)In classification problems, generalization ability has a key role for successful prediction. Well known Support Vector Machine classifier, tries to increase generalization ability via maximizing the margin, which is the ... -
Conic Scalarization Method in Nonconvex Multi Objective Optimization
(Baku State University, Inst Applied Mathematics, 2018)… -
Integer Programming Formulations for the Uncapacitated Vehicle Routing p-Hub Center Problem
(Modelling & Simulation Soc Australia & New Zealand Inc, 2015)Hub facilities are used in many-to-many transportation networks such as passenger airlines, parcel delivery, and telecommunication system networks. In these networks, the flow that is interchanged between the demand centers ... -
Augmented Lagrangian Based Solution Method for One-Dimensional Cutting Stock and Assortment Problem
(Baku State University, Inst Applied Mathematics, 2018)This paper is a continuation of the research on cutting problems given in [2]. The paper presents a mathematical model for a one-dimensional cutting stock and assortment problem and an augmented Lagrangian based solution ... -
Monitoring Fraction Nonconforming in Process with Interval Type-2 Fuzzy Control Chart
(Springer International Publishing Ag, 2018)Fuzzy set theory is particularly appropriate approach when data include imprecise. Type-2 fuzzy set theory captures ambiguity that associates the uncertainty of membership functions by incorporating footprints and models ... -
A New Mathematical Model for Multisession Exams-Building Assignment
(Polish Acad Sciences Inst Physics, 2017)The educational timetabling problem has been extensively investigated in timetabling literature. However, the problem of assigning exams to examination buildings has not been studied intensively by researchers. We were ... -
Estimating Fuzzy Life Time with a Fuzzy Reliability Function in the Appliance Sector
(Springer International Publishing Ag, 2018)Reliability is defined as the length of time a component works without failing. The reliability function shows an estimate for the probable amount of time a component should work without experiencing failure. Fuzzy set ... -
Fuzzy Dea Approach to Solve the Location Selection of Wind Energy
(World Scientific Publ Co Pte LTD, 2012)Wind energy is an important energy source among the renewable energies, in nowadays. Turkey has many wind energy locations due to the appropriate weather conditions. The problem of location selection of wind energy depends ... -
Modeling attribute control charts by interval type-2 fuzzy sets
(Springer, 2018)Fuzzy attribute control charts, where data are classified into conforming/nonconforming product units, are used to monitor fuzzy fractions of nonconforming units for variable sample sizes and the fuzzy number of nonconforming ... -
Exergetic and exergoeconomic analysis of an Aircraft Jet Engine (AJE)
(Inderscience Enterprises LTD, 2008)This study deals with energy, exergy and exergoeconomic analysis of an Aircraft Jet Engine (AJE) as named J69-T25A used on T-37B/C model training aircrafts. In the analyses, the engine data measured in the engine test cell ... -
Arrhythmia Classification via k-Means based Polyhedral Conic Functions Algorithm
(IEEE, 2016)Heart disease is one of the important cause of death. In this study, we used ECG data obtained from MIT-BIH database to classify arrhythmias. We select 5 classes; normal beat (N), right bundle branch block (RBBB), left ... -
Determining the Criteria and Evaluating Six Sigma Projects via Fuzzy ANP method in Group Decision
(Elsevier Science BV, 2016)Six Sigma is a well-structured methodology based to detect and reduce the variation on design and production process. Six sigma helps to achieve the company's goals by driving the six sigma projects throughout the company. ... -
A Multi Objective Multi Echelon Supply Chain Network Model for a Household Goods Company
(Springer-Verlag Berlin, 2015)In this study, we have developed a multi echelon and multi objective supply chain network model for a company which sells high quality household goods to its customers in different cities. The first objective of the proposed ... -
Stochastic Optimal Control Problem of Constrained Switching System with Delay
(University Nis, Fac Sci Math, 2016)This paper concerns the stochastic optimal control problem of switching systems with delay. The evolution of the system is governed by the collection of stochastic delay differential equations with initial conditions that ... -
Stochastic Optimal Control Problem for Switching Systems with Controlled Diffusion Coefficients
(Int Assoc Engineers-Iaeng, 2013)This paper provides necessary conditions of optimality, in the form of a maximum principle, for optimal control problems of switching systems. Dynamics of the constituent processes take the form of stochastic differential ...
