Using Multi-chromosomes to Solve a Simple Mixed Integer Problem

. Multi-chromosomes representations have been used in Genetic Algorithms to decompose complex solution representations into simpler components each of which is represented onto a single chromosome. This paper investigates the effects of distributing similar structures over a number of chromosomes. The solution representation of a simple mixed integer problem is encoded onto one, two, or three chromosomes to measure the effects. Initial results showed large differences, but further investigation showed that most of the differences were due to increased mutation, but multi-chromosome representation can give superior results. 1 Introduction Multi-chromosome representations are not often used in Genetic Algorithms (GAs), but when they are, each chromosome has been different in structure (Juliff, 1993; Hinterding & Juliff, 1993; Hinterding, 1997; Ronald et al., 1997). To date no work has been done to determine the effect of using multiple chromosomes where each chromosome has the same stru..