Published Online: Mar 16, 2013
Page range: 23 - 33
DOI: https://doi.org/10.2478/cait-2012-0010
Keywords
This content is open access.
Multiobjective optimization based on genetic algorithms and Pareto based approaches in solving multiobjective optimization problems is discussed in the paper. A Pareto based fitness assignment is used − non-dominated ranking and movement of a population towards the Pareto front in a multiobjective optimization problem. A MultiObjective Genetic Modified Algorithm (MOGMA) is proposed, which is an improvement of the existing algorithm.