
<p>
Description for class <b>GADirectedGraph</b>:
<blockquote>

		GADirectedGraph is a special subclass of GeneticAlgorithmIndividual  which maages directed networks of nodes for evolution.  The primary use of these networks is to evolve creature morphologies.  The networks are based on the the directed graphs used by Karl Sims in "Evolving Virtual  Creatures" (1994).  Multiple connections may exist between nodes, and nodes  may have connections back to themselves. <P> GAGraph makes use of a number of other classes.  The GAGraph itself holds  a reference to the graph's root node, which is an object of  GADirectedGraphNode.  This root node may be connected directly or  indirectly to any other number of GADirectedGraphNode objects, using the connection class GADirectedGraphConnection. <P> Because GADirectedGraphNode and GADirectedGraphConnection  are intended to be used as general evolutionary objects, it is often  neccessary to associate a set of parameters with these objects, above  and beyond the information coded in the connected graph.  For this reason, both classes are subclasses of an object which can hold a list of parameters, GADirectedGraphParameterObject. <P> GADirectedGraphParameterObject holds a list of float values between -1.0 and 1.0.  These parameters can be interpreted in whatever way the  user desires.  In the example of directed graphs being used to specify creature morphologies, the parameters hold information about the size and orientation of limbs relative to one another.
	
</blockquote>
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<p>
Inherits from <b>GeneticAlgorithmIndividual</b>
</p>
<p>
Full API documentation for the class <b>GADirectedGraph</b>:
<ul>
<li><a href="/documentation/steveclasses/GADirectedGraph.html">steve language documentation</a></li>
<li><a href="/documentation/pythonclasses/GADirectedGraph.html">Python language documentation</a></li>
</ul>
</p>
