"Cooperative coevolutionary and classical evolutionary algorithms for coordinated supply chain management".

A talk by Maksud Ibrahimov, University of Adelaide, Australia
Date: July 16th
Time: 1pm
Venue: Yellow Cube lecture theatre, Ciudad Politécnica de la Innovación, Universidad Politécnica de Valencia

Abstract:
This presentation discusses global optimisation from a business perspective in the context of the supply chain operations. A two-silo supply chain was built for experimentation and two approaches were used for global optimisation: a classical evolutionary approach and a cooperative coevolutionary approach. The latter produced  higher quality solutions due to its use of communication between silos. This algorithm is further extended with the selection based on non-dominated sorting. Additionally, a second problem was addressed involving an existing Australian multi-factory sheet steel business.


Biography:

Maksud Ibrahimov is a PhD student at the University of Adelaide. His main research interest is evolutionary algorithms in application to real world supply chain management problems. He is particularly interested in optimisation of coordinated supply chain, i.e. optimisation of all components of the system.

Maksud was a bronze medal winner of 16th International Olympiad in Informatics in Greece, 3rd place in British Computer Society Programming Contest and champion of many other international Olympiads including ACM International Collegiate Programming Contest, Kansas Math Relays, CIS Olympiad in Informatics and others.

Maksud has 7+ years of work experience in Australia, United Kingdom and Azerbaijan. He was involved in development of large enterprise applications and ERP systems including solutions for supply and demand optimisation for the biggest Australian companies. From 2007 Maksud is IT Coordinator of several projects of the United Nations.