ABSTRACT
In earlier chapters, we discussed the trend toward biologically inspired models. To reiterate briefly, we have seen that some biological systems have certain capabilities that either do not exist in our engineered world or they are far superior to the equivalent capabilities in our engineered world. Biological systems seem to exploit the power of the massively parallel systems of inter related agents, combined with the power of random search. In the previous chapters, we considered neural networks that are systems of massively interconnected artificial neurons. In this and the next two chapters, we will consider models that are based on the natural Darwinian evolution. As we will see later, these models are also massively parallel systems, in that they deal with large populations of individuals who are interrelated by competing within the same shared environment. Evolutionary models exploit the power of random searches by introducing random variability at every stage of the evolutionary computation.
