Optimal routes scheduling for municipal waste disposal garbage trucks using evolutionary algorithm and artificial immune system

This paper describes an application of an evolutionary algorithm and an artificial immune systems to solve a problem of scheduling an optimal route for waste disposal garbage trucks in its daily operation. Problem of an optimisation is formulated and solved using both methods. The results are presented for an area in one of the Polish cities

Analysis of forecasting methods regarding circulation of goods, based on the example of company Kochloeffel Polska Sp. z o.o

The storage problems of food products, which result from seasonal variations in demand are discussed in the paper. Selected forecasting methods were examined in the context of efficiency. Due to seasonal demands the analysis was focused on forecasting methods regarding seasonal fluctuations. There were used Winter's model, seasonality indices and harmonic analysis. To determine coefficients in harmonic analysis, an analytic method as well as artificial immune systems was selected. The results of each calculations were put together and compared

A comparison of forecasting the results of road transportation needs

Determining the size and quality of transport needs would not be possible without adequate forecasting based on the sales volume or demand for this service from the past periods. Traditional forecasting methods use econometric models that may be subject to serious errors. The use of the methods taking into account the variability of the studied phenomena or more advanced mathematical methods enables to minimize the error. Various methods of artificial intelligence such as a neural network, fuzzy sets, genetic algorithms, etc., have been recently successfully applied. The aim of this paper is to compare three forecasting methods that can be used for predicting the volume of road freight. The article deals with the effectiveness of three prediction methods, namely Winter's method for seasonal problems – a multiplicative version, harmonic analysis and harmonic analysis aided by the artificial immune system. The effectiveness of prediction was counted using MAPE errors (main average percentage error). The results of calculations were compared and the best example was presented

Locating Goods in Warehouse Taking into Account the Transport Time

The paper deals with a problem of proper distribution of goods on warehouse shelves. There is formulated the task of minimising the travel time of forklift from the shelves where goods are stored to release zone. The evolutionary algorithm was used to solve it