A Methodology for reverse engineering automata networks

A robust bi-objective mathematical model for disaster rescue units allocation and scheduling with learning effect Tirkolaee, Erfan Babaee; Aydin, Nadi Serhan; Ranjbar-Bourani, Mehdi; Weber, Gerhard Wilhelm (Elsevier BV, 2020-11-01) This paper proposes a novel bi-objective mixed-integer linear programming (MILP) model for allocating and scheduling disaster rescue units considering the learning effect. When a natural phenomenon (e.g., earthquake or flood) occurs, the presented decision support model is expected to help decision-makers of emergency relief centers to provide efficient planning for rescue units to minimize the total weighted completion time of rescue operations, as well as the total delay in rescue operations. The problem ...
A unifying grid approach for solving potential flows applicable to structured and unstructured grid configurations Cete, A. Ruhsen; Yuekselen, M. Adil; Kaynak, Uenver (Elsevier BV, 2008-01-01) In this study, an efficient numerical method is proposed for unifying the structured and unstructured grid approaches for solving the potential flows. The new method, named as the "alternating cell directions implicit - ACDI", solves for the structured and unstructured grid configurations equally well. The new method in effect applies a line implicit method similar to the Line Gauss Seidel scheme for complex unstructured grids including mixed type quadrilateral and triangle cells. To this end, designated al...
A FEM approach to biomagnetic fluid flow in multiple stenosed channels Turk, O.; Bozkaya, Canan; Tezer, Münevver (Elsevier BV, 2014-06-25) The unsteady and laminar biomagnetic fluid flow of a viscous, incompressible, Newtonian and electrically conducting fluid is numerically investigated. Specifically, the two-dimensional flow driven in an infinite channel containing multiple stenosis and subject to a spatially varying external magnetic field is considered. The numerical method is based on the use of finite element method (FEM) in spatial discretization and unconditionally stable backward finite difference scheme for the time integration, for ...
AN INTERACTIVE APPROACH FOR A DUAL CONSTRAINT JOB SHOP SCHEDULING PROBLEM KONDAKCI, S; GUPTA, RM (Elsevier BV, 1991-01-01) Until recently, heuristic dispatching rules were the only practical means to solve the job shop scheduling problem. Currently, a promising direction in job shop scheduling is interactive scheduling. In this study an interactive scheduling approach is developed for a dual-constraint dynamic job shop production environment. The approach is used by a number of subjects in an experiment. The performance of the subjects is compared with that of dispatching rules based on tardiness and other measures relevant...
A recommended neural trip distributon model Tapkın, Serkan; Akyılmaz, M. Özdemir; Department of Civil Engineering (2004) In this dissertation, it is aimed to develop an approach for the trip distribution element which is one of the important phases of four-step travel demand modelling. The trip distribution problem using back-propagation artificial neural networks has been researched in a limited number of studies and, in a critically evaluated study it has been concluded that the artificial neural networks underperform when compared to the traditional models. The underperformance of back-propagation artificial neural network...

Citation Formats

H. Kılıç, “A Methodology for reverse engineering automata networks,” Ph.D. - Doctoral Program, Middle East Technical University, 1998.