Agent based evolutionary algorithms for solving constrained multi-objective optimization problems

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