in this study, given the sequence dependent setup times, we attempt using the technique of response surface methodology (rsm) to set the parameters of the genetic algorithm (ga), which is used to optimize the scheduling problem of n job on 1 machine (n/1). it aims at finding the most suitable parameters for increasing the efficiency of the proposed algorithm. at first, a central composite desig...

in this study, a two-objective mixed-integer linear programming model (milp) for multi-product re-entrant flow shop scheduling problem has been designed. as a result, two objectives are considered. one of them is maximization of the production rate and the other is the minimization of processing time. the system has m stations and can process several products in a moment. the re-entrant flow sho...

    In this study, given the sequence dependent setup times, we attempt using the technique of Response Surface Methodology (RSM) to set the parameters of the genetic algorithm (GA), which is used to optimize the scheduling problem of n job on 1 machine (n/1). It aims at finding the most suitable parameters for increasing the efficiency of the proposed algorithm. At first, a central composite d...

Cold rolling process is a complicated process which can be optimized by changing in variables and settings. This paper presents a set-up optimization system developed to calculate reductions and inter-stand tensions for each stand of a five stand tandem cold mill. The main objective in this optimization is minimization of power consumption. First, by using the analytical method, the equations ...

abstract: this paper considers the problem of scheduling n jobs on m unrelated parallel machines with sequence-dependent setup times. to better comply with industrial situations, jobs have varying due dates and ready times and there are some precedence relations between them. furthermore sequence-dependent setup times and anticipatory setups are included in the proposed model. the objective is ...

random early detection (red) is one of the most commonly used active queue management (aqm) algorithms that is recommended by ietf for deployment in the network. although red provides low average queuing delay and high throughput at the same time, but effectiveness of red is highly sensitive to the red parameters setting. as network condition varies largely, setting red's parameters with fixed ...

among various heuristics techniques, genetic algorithm (ga) is one of the most widely used techniques which has successfully been applied on a variety of complex combinatorial problems. the performance of ga largely depends on the proper selection of its parameters values; including crossover mechanism, probability of crossover, population size and mutation rate and selection percent. in this p...

This study is focused on the development of a systematic computational approach which implements Genetic Algorithm (GA) to find the optimal rigorous kinetic models.A general Kinetic model for hydrogenolysis of dibenzothiophene (DBT) based on Langmuir-Hinshelwood type has been obtained from open literature. This model consists of eight continuous parameters(e.g., Arrhenus  and Van't...