Immune algorithm and intelligent devices for schedule overlap prevention in electric transport

Abstract

This study is dedicated to optimize the electric transport traffic by adjusting timetables using evolutionary algorithms and scheduling theory. Developed multiple criteria objective function's energy consumption criterion is used for the assessment of adjusted schedules. The scheduling results of immune algorithm is compared with results of genetic algorithm by providing better energy saving effect and eliminating of schedules overlapping. This article also discusses one of the possible energy savings - proper planning of transport operations. It is considered on the railway irregular transportation operations example.