Details of Grant 

EPSRC Reference:	GR/S79718/01
Title:	Adaptive and Hybrid Genetic Algorithms for Production Scheduling Problems in Manufacturing
Principal Investigator:	Yang, Professor S
Other Investigators:
Researcher Co-Investigators:
Project Partners:	Waseda University1
Department:	Mathematics
Organisation:	University of Leicester
Scheme:	Overseas Travel Grants Pre-FEC
Starts:	01 November 2003	Ends:	31 January 2004	Value (£):	6,700
EPSRC Research Topic Classifications:	Artificial Intelligence
EPSRC Industrial Sector Classifications:	Information Technologies
Related Grants:
Panel History:
Summary on Grant Application Form
This application is for an overseas travel grant to support the investigator to carry out research cooperation with Prof. Mitsuo Gen at Waseda University in Japan for three months while he is on sabbatical. Prof. Gen's Artificial Intelligence Lab is internationally recognized in the areas of applying intelligent methods such as genetic algorithms and artificial neural networks for solving practical optimization problems in industry. This project will combine the Intteligent Optimisation expertise of the investigator and Prof. Gen's Artificial Intelligence Lab into an interesting application research area: Adaptive and Hybrid Genetic Algorithms for Production Scheduling Problems in Manufacturing. The production scheduling problem concerns the allocation of limited resources (or machines) to perform a collection of tasks (or jobs) over time in order to optimise one or more objectives, such as minimizing the completion time of the last job. It plays an important role in manufacturing systems. During the 3 months' visit, based on the investigator's recent work in adaptive genetic algorithms, we will develop new adaptive genetic algorithms specific for static production scheduling problems in manufacturing systems. In addition, we will also investigate new hybrid intelligent methods that combine genetic algorithms with artificial neural networks for solving dynamic production scheduling problems under manufacturing environments. In this project we will mainly concentrate on the job-shop scheduling problem, one of the most complicated and typical production scheduling problems. However the results can be easily extended to solve other production scheduling problems.
Key Findings
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Further Information:
Organisation Website:	http://www.le.ac.uk