Solving large scale multi-objective optimisation problems using evolutionary algorithms
The objective of this research is to develop a new evolutionary algorithm for solving large-scale multi-objective constrained optimization problems by dividing the tasks and using parallel machines.
Description of Work:
- Studying and analysing the existing evolutionary multi-objective algorithms for solving single and multi-objective constrained optimization problems.
- Designing and developing a new evolutionary algorithm for solving largescale multi-objective constrained optimization problems that will allow an intelligent way of dividing the tasks for implementation in parallel machines.
- 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.
Knowledge of optimization /operations research /management science and good computer programming skills.