Design of a computer tool for the optimization of solid waste collection circuits

The optimization of solid waste collection circuits is one of the applications of the Capacited Arc Routing Problem. This article addresses this topic, summarizes and compares the different research and methods that have been used to solve this famous problem. And concluded with an effective method on which will be based the design of a computer optimization tool.

Synthesis of Vegetation Indices Using Genetic Programming for Soil Erosion Estimation

Vegetation Indices (VIs) represent a useful method for extracting vegetation information from satellite images. Erosion models like the Revised Universal Soil Loss Equation (RUSLE), employ VIs as an input to determine the RUSLE soil Cover factor (C). From the standpoint of soil conservation planning, the C factor is one of the most important RUSLE parameters because it measures the combined effect of all interrelated cover and management variables. Despite its importance, the results are generally incomplete because most indices recognize healthy or green vegetation, but not senescent, dry or dead vegetation, which can also be an important contributor to C. The aim of this research is to propose a novel approach for calculating new VIs that are better correlated with C, using field and satellite information. The approach followed by this research is to state the generation of new VIs in terms of a computer optimization problem and then applying a machine learning technique, named Genetic Programming (GP), which builds new indices by iteratively recombining a set of numerical operators and spectral channels until the best composite operator is found. Experimental results illustrate the efficiency and reliability of this approach to estimate the C factor and the erosion rates for two watersheds in Baja California, Mexico, and Zaragoza, Spain. The synthetic indices calculated using this methodology produce better approximation to the C factor from field data, when compared with state-of-the-art indices, like NDVI and EVI.

Computer optimization methods of decision processes in a manufacturing company

The paper aims to describe the linear programming model and to sample the application of the linear programming model to optimize the production volume in a small company from the armaments industry. Using the methods and tools of operational research in engineering and managerial practice can effectively help, greatly facilitate and accelerate decisionmaking.