Session:

SOE - Self-Organization on Representations for Genetic and Evolutionary Algorithms

Title:

Solving Rotated Multi-objective Optimization Problems Using Di?erential Evolution

Authors:

Antony W. Iorio
Xiaodong Li

Abstract:

This paper demonstrates that the self-adaptive technique of Differential Evolution (DE) can be used for solving epistatic multi-objective optimization problems. The real-coded crossover and mutation rates within the NSGA-II have been replaced with a simple Differential Evolution scheme and results are reported on a rotated problem which has presented difficulties using existing Multi-objective Evolutionary Algorithms. The Differential Evolution variant of NSGA-II has demonstrated rotational invariance and superior performance over the NSGA-II on this problem.