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 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...