<div>the objective function represents your optimization goal. In mathematical programming, this is explicitly defined as a maximization or minimization of a specific function that tends to be dependent on your decision variables.</div>
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<div>In a GA formulation, the objective function is reflected by the fitness funtion. Essentially, this function is evaluated for every generation of alleles that is generated. The fitness function is a function of all the alleles for a specific individual. Essentially this score represents how good that specific solution is. As the genetic algorithm progresses and generates new individuals, individuals with a higher score are kept and used to generate mutated individuals that potentially could have a better score. </div>
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<div>Hope this helps.</div>
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<div>sri<br><br></div>
<div class="gmail_quote">On Sat, Jun 21, 2008 at 10:24 AM, Fábio Roberto Teodoro <<a href="mailto:fr.teodoro@gmail.com" target="_blank">fr.teodoro@gmail.com</a>> wrote:<br>
<blockquote class="gmail_quote" style="PADDING-LEFT: 1ex; MARGIN: 0px 0px 0px 0.8ex; BORDER-LEFT: #ccc 1px solid">I have some doubts about the objective function. It means the raw fitness, the<br>value of the function that I am optimizing or something else? I think the it<br>
mean the second option, but not sure.<br><br>And why it gives me error messages when the objective function returns negative<br>numbers?<br><br>If someone could clarify this points...<br><br>TIA<br>_______________________________________________<br>
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