The objective of this research is to develop a new evolutionary algorithm for solving and resolving job-shop scheduling problems when the production process is interrupted by any internal or external factors.
Program Code: 1885
Objectives:
The objective of this research is to develop a new evolutionary algorithm for solving and resolving job-shop scheduling problems when the production process is interrupted by any internal or external factors.
Description of Work:
Studying and analysing the job-shop scheduling problems and their solution approaches.
Designing and developing a new evolutionary algorithm for solving and resolving medium scale job-shop scheduling problems where the production can be interrupted by internal and external factors.
Analysing the algorithm performance and carrying out the sensitivity analysis of different parameters required by the algorithm.
Solving a reasonable number of benchmark problems and comparing them with the state-of-the-art algorithms (if any).
Skills Assumed:
Knowledge of optimization /operations research /management science and good computer programming skills.
Contact:
Prof Ruhul Sarker r.sarker@adfa.edu.au
School of Engineering & IT