Evolutionary computation: toward a new philosophy of machine intelligence
Evolutionary computation: toward a new philosophy of machine intelligence
Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
A comparison between cellular encoding and direct encoding for genetic neural networks
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
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The goal of this paper is to present a more efficient way to automatically construct appropriate neural network topologies as well as their initial weight settings. Our approach combines evolutionary algorithms and genetic programming techniques and is based on a new network encoding schema where instead of a string like encoding the graph representation of neural nets is used. This way of "encoding" reduces the computational expense and leads to a greater variety of network topologies.