Ant Colony Optimization for Train Scheduling: An Analysis | Zendy

Sudip Kumar Sahana | Zendy; Aruna Jain | Zendy; Prabhat Mahanti | Zendy

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Ant Colony Optimization for Train Scheduling: An Analysis

Author(s) -

Sudip Kumar Sahana,

Aruna Jain,

Prabhat Mahanti

Publication year - 2014

Publication title -

international journal of intelligent systems and applications

Language(s) - English

Resource type - Journals

eISSN - 2074-9058

pISSN - 2074-904X

DOI - 10.5815/ijisa.2014.02.04

Subject(s) - computer science , ant colony optimization algorithms , scheduling (production processes) , operations research , mathematical optimization , artificial intelligence , mathematics , engineering

This paper deals on cargo train scheduling between source station and destination station in Indian railways scenario. It uses Ant Colony Optimization (ACO) technique which is based on ant's food finding behavior. Iteration wise convergence process and the convergence time for the algorithm are studied and analyzed. Finally, the run time analysis of Ant Colony Optimization Train Scheduling (ACOTS) and Standard Train Scheduling (STS) algorithm has been performed.

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