Question About Multiobjective Genetic Algorithm Optimisation

Hi,

Firstly i want to explain what i am trying to do:

I am trying to optimize a cellular network by using multiobjective genetic algorithm.

I want to optimise number of base stations , coverage and multi coverage.

my population consist of possible base station locations in X and Y coordinates. which some of them commissioned and others not depending on some constraints.

i want my gene to have lets say 10 possible base station locations with only 5 them of them commissioned by this way i want to keep some junk elements in gene to get a better solution surface.

with three optimisation object i will get a pareto surface.

What i need help on how should i feed the gamultiobj function?

It is easy for coverage and multicoverage because they are just 1-by-1 values. But for basestation number and positions i dont know what to do.

Even though i read the manuals for the gamultiobj manual i cant get my head around this problem. Any help/tips will be great help for me.

[david]

hello,where you finally able to achieve this? if u were pls paste code and a little explanation please. thank you