Genetic algorithms: optimal division of design tasks of the control subsystem

摘要

This paper presents a method for defining design tasks for the control subsystem of a sequential automatic system by creating groups of elementary design tasks. An original genetic algorithm enables us to determine these groups using a fitness function that integrates constraints concerning material and human resources. A fitness function penalty is applied to all groups that don't satisfy a constraint of "contiguity" between elementary tasks. An example of an application of the method is given.