Program Code: 1885
Description of work:
The objective of this research is to develop a new agent based evolutionary algorithm for solving multi-objective constrained optimization problems.
Description of Work:
Studying and analysing the existing multi-agent and evolutionary computation based approaches for solving different optimization problems.
Designing and developing a new agent based evolutionary algorithm for solving small and medium scale constrained multi-objective optimization problems.
Analysing the algorithm performance and carrying out the sensitivity analysis of different parameters required by the algorithm.
Solving a reasonable number of well-known benchmark problems and comparing them with the state-of-the-art algorithms.
Skills Assumed:
Knowledge of optimization /operations research /management science and good computer programming skills.
Contact:
Prof Ruhul Sarker r.sarker@adfa.edu.au