The Multi Objective Optimization Team of University of Pernambuco works toward the development of novel multi-objective optimization techniques mainly based on swarm intelligence and evolutionary computation. Some of the recently proposed algorithms are:

  1. 1. Multi-objective Particle Swarm Optimization using Crowding Distance and Roulette Wheel (MOPSO-CDR);
  2. 2. MOPSO with Speciation.
We also apply Multi-objective Optimizers to real world problems in many areas, such as:
  1. 1. Communication Network Design;
  2. 2. Parameter Selection;
  3. 3. Optical Amplifiers Design.

MOOT staff