Train timetable generation using genetic algorithms Christopher Hinde Mark S. Withall Iain Phillips Tom Jackson Steve Brown Robert Watson 2134/7653 https://repository.lboro.ac.uk/articles/conference_contribution/Train_timetable_generation_using_genetic_algorithms/9405374 The scheduling of railway trains has been a research problem for many years. Many of the choices required are not known a priori and require exploration of the problem to determine them. A modular Genetic system was designedmake the evaluation function and preparation of the timetable tractable. The Genetic system consists of a Genome, split into Chromosomes so the extra choices that become known throughout the evolution can be added to the Chromosomes. A weighted fitness function and a multiobjective non-dominated fitness function were tried, and then partial objective ranking was added. The system has tackled a mixture of problems has produced promising results. 2010-12-22 12:51:31 Railway timetabling Evolutionary systems Multiobjective optimisation Information and Computing Sciences not elsewhere classified