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Browsing Fakülteler / Faculties by Author "Çakar, Tarık"

Now showing items 1-16 of 16

A neural-network committee machine approach to the inverse kinematics problem solution of robotic manipulators

Sarı, Yavuz; Köker, Raşit; Çakar, Tarık (2013)
A neuro-genetic-simulated annealing approach to the inverse kinematics solution of robots: a simulation based study

Köker, Raşit; Köker, Raşit; Çakar, Tarık (SPRINGER, 2016)

In this study, a hybrid intelligent solution system including neural networks, genetic algorithms and simulated annealing has been proposed for the inverse kinematics solution of robotic manipulators. The main purpose of ...
A new neuro-dominance rule for single-machine tardiness problem with double due date

Çakar, Tarık; Köker, Raşit; Canay, Özkan (SPRINGER LONDON LTD, 2015)

In this study, the single-machine total weighted tardiness scheduling problem with double due date has been addressed. The neuro-dominance rule (NDR-D) is proposed to decrease the total weighted tardiness (TWT) for the ...
A study of neural network based inverse kinematics solution for a three-joint robot

Köker, Raşit; Öz, Cemil; Çakar, Tarık; Ekiz, Hüseyin (ELSEVIER SCIENCE BV, 2004)

A neural network based inverse kinematics solution of a robotic manipulator is presented in this paper. Inverse kinematics problem is generally more complex for robotic manipulators. Many traditional solutions such as ...
A study of neural network based inverse kinematics solution for a three-joint robot

Köker, Raşit; Öz, Cemil; Çakar, Tarık; Ekiz, Hüseyin (ELSEVIER SCIENCE BV, 2004)

A neural network based inverse kinematics solution of a robotic manipulator is presented in this paper. Inverse kinematics problem is generally more complex for robotic manipulators. Many traditional solutions such as ...
Artificial neural networks for design of manufacturing systems and selection of priority rules

Çakar, Tarık; Çil, İbrahim (TAYLOR & FRANCIS LTD, 2004)

Simulation is one of the most effective methods in the Design of Manufacturing Systems (MS). Typical reasons for simulation of a manufacturing system includes evaluating the capacity and equipment utilization, identifying ...
LECTURE NOTES IN COMPUTER SCIENCE

Çakar, Tarık (SPRINGER-VERLAG BERLIN, 2006)

We present a neuro-dommance rule for single machine total weighted tardiness problem with unequal release dates. To obtain the neuro-dominance rule (NDR), backpropagation artificial neural network (BPANN) has been trained ...
LECTURE NOTES IN COMPUTER SCIENCE

Çakar, Tarık (SPRINGER-VERLAG BERLIN, 2005)

We present a neuro-dominance rule for single machine total weighted tardiness problem. To obtain the neuro-dominance rule (NDR), backpropagation artificial neural network (BPANN) has been trained using 5000 data and also ...
Machine number, priority rule, and due date determination in flexible manufacturing systems using artificial neural networks

Çakar, Tarık; Doğuç, Ufuk (PERGAMON-ELSEVIER SCIENCE LTD, 2006)

When there is a production system With excess capacity, i.e. more capacity than the demand for the foreseeable. future, upper management might consider utilizing only a portion of the available capacity by decreasing the ...
Optimization of heat treatment process parameters using neural networks and Nelder-Mead algorithm

Çakar, Tarık; F. Keskinkilic; Köker, Raşit (NATL INST OPTOELECTRONICS, 2015)

Metallurgical processes consist of different and complex production operations. One of them is heat treatment. Hardness value is an important response variable for heat treatment process. Heat treatment parameters and ...
Parallel robot scheduling to minimize mean tardiness with precedence constraints using a genetic algorithm

Çakar, Tarık; Köker, Raşit; Demir, Halil İbrahim (ELSEVIER SCI LTD, 2008)

Identical parallel robot scheduling problem for minimizing mean tardiness with precedence constraints is a very important scheduling problem. But, the solution of this problem becomes much difficult when there are a number ...
Parallel robot scheduling to minimize mean tardiness with unequal release date and precedence constraints using a hybrid intelligent system

Sarı, Yavuz; Çakar, Tarık; Köker, Raşit (2012)
Parallel Robot Scheduling to Minimize Mean Tardiness with Unequal Release Date and Precedence Constraints Using a Hybrid Intelligent System Regular Paper

Çakar, Tarık; Köker, Raşit; Sarı, Yavuz (INTECH -OPEN ACCESS PUBLISHER, 2012)

This paper considers the problem of scheduling a given number of jobs on a specified number of identical parallel robots with unequal release dates and precedence constraints in order to minimize mean tardiness. This problem ...
Single machine scheduling with unequal release date using neuro-dominance rule

Çakar, Tarık (SPRINGER, 2011)

A neuro-dominance rule (NDR) for single machine total weighted tardiness problem with unequal release date is presented by the author. To obtain the NDR, backpropagation artificial neural network (BPANN) has been trained ...
Solving Single Machine Total Weighted Tardiness Problem with Unequal Release Date Using Neurohybrid Particle Swarm Optimization Approach

Çakar, Tarık; Köker, Raşit (HINDAWI PUBLISHING CORPORATION, 2015)

A particle swarm optimization algorithm (PSO) has been used to solve the single machine total weighted tardiness problem (SMTWT) with unequal release date. To find the best solutions three different solution approaches ...
Using Web based influence allocation processes based on experts' opinion immediately after natural catastrophe

Çil, İbrahim; Çakar, Tarık (UNIV CINCINNATI INDUSTRIAL ENGINEERING, 2005)

An alternative policy option for reducing risk of natural catastrophe is relocation. Relocation is an important problem to cities which were seriously affected several times from destructive earthquakes. A comprehensive ...