Inverse modelling in estimating soil hydraulic functions: a Genetic Algorithm approach

A genetic algorithm approach for problem

In this paper, a genetic algorithm is presented for an identical parallel-machine scheduling problem with family setup time that minimizes the total weighted flow time ( ). No set-up is necessary between jobs belonging to the same family. A set-up must be scheduled when switching from the processing of family i jobs to those of another family j, i  j, the duration of this set-up being the sequ...

Estimating Hydraulic Conductivity Using Pedotransfer Functions

Estimating the Saturated Hydraulic Conductivity of Soil Using Gene Expression Programming Method and Comparing It with the Pedotransfer Functions

Saturated hydraulic conductivity of soil is an important physical property of soil that affects water movement in soil, Since the measurement of saturated hydraulic conductivity by direct methods in the field or in the laboratory is hard, time-consuming and costly, the indirect methods are being used.The aim of this study is to estimate the saturated hydraulic conductivity from other soil prope...

The cost-minimizing inverse classification problem: a genetic algorithm approach

We consider the inverse problem in classification systems described as follows. Given a set of prototype cases representing a set of categories, a similarity function, and a new case classified in some category, find the cost minimizing changes to the attribute values such that the case is reclassified as a member of a (different) preferred category. The problem is “inverse” because the usual m...

Dynamic modelling and parameter estimation of a hydraulic robot manipulator using a multi-objective genetic algorithm