A classifier system is used to learn control and profit optimization of a batch chemical reaction. Ability to learn different market conditions and changes to reaction parameters is demonstrated. The profit sharing algorithm is used for apportionment of credit. The greater effectiveness of the use of the genetic algorithm over apportionment of credit alone or the random replacement of low stren...

In this paper, we propose a Markov Decision Process model for an empty repositioning problem in a two-port system. We consider two cases. The first case is the offline case, where demand information is assumed as a random variable with known distribution. The second case is online case where demand information is partially known. In both cases, we figure out the optimal controlling policies. T...

Process planning and production scheduling play important roles in manufacturing systems. In this paper a multiobjective mixed integer linear programming model is presented for the integrated planning and scheduling of multi-product. The aim is to find a set of high-quality trade-off solutions. This is a combinatorial optimization problem with substantially large solution space, suggesting that...

This paper describes the design optimization of ferrocement-laminated plate made up of reinforcing steel wire mesh(es) and cement mortar. For the improvement of the designing process, the plate is modeled as a multi-layer medium, dividing the ferrocement plate into layers of mortar and ferrocement. The mortar layers are assumed to be isotropic in nature and the ferrocement layers are assumed to...

This paper presents a novel dynamic neural network (DNN) predictive control strategy based on modified particle swarm optimization (PSO) for long time delay nonlinear process. The proposed dynamic NN structure could approximate to the actual system model and obtain the pure delay time exactly. An improved version of the original PSO is put forward to train the parameters of NN to enhance the co...

In this paper we present a Feed-Foward Neural Networks Autoregressive (FFNN-AR) model with genetic algorithms training optimization in order to predict the gross domestic product growth of six countries. Specifically we propose a kind of weighted regression, which can be used for econometric purposes, where the initial inputs are multiplied by the neural networks final optimum weights from inpu...

Along with increasingly development of CAD/CAM software and their application in various industries, minimizing of the machining time is found to be more important. In this paper, firstly the concerning subjects are discussed regarding classification of the optimization techniques. These are programming techniques, high speed machining techniques and feed rate optimization techniques. As a case...

In process industries PID controllers are used more. In PID controller we have three parameters for tuning and tuning is done by using Ziegler-Nicholas method. In this paper we used fractional PID controller for coupled tank system and by using a tuning method for getting required response. First used zieglar-nicholas and Astrom-Hagglund method for tuning, then derived two non-linear equations ...

this paper presents a hybrid method for the optimization of forging process of an aerofoil blade. preform shape and die parting-line angle are optimized in order to minimize the volume of the unfilled die cavity, material waste, forging forces. the overall optimization scheme used in this research work includes a multi-objective approach that is combination of response surface and finite elemen...