Many-Objective Optimization
Affan Malik, Kishalay Mitra · Research Archive of Indian Institute of Technology Hyderabad (Indian Institute of Technology Hyderabad) · 2017
Many - Objective Optimization Problems (MaOOP) is the new avenue of research in Multi - Objective Optimization Problems (MOOP). MaOOP is MOOP with 4 or more objectives. Th e challenges and differences of MaOOP from MOOP are discussed. A state of the art algorithm, MOEA/DD (Multi - Objective Evolutionary Algorithm /Dominance and Decmposition, MOEA/DD) for MaOOP is explained in detail and it has been implemented and tested on st andard test problems and a few other algorithm are also discussed briefly