Titlebook: Genetic Programming; 17th European Confer Miguel Nicolau,Krzysztof Krawiec,Kevin Sim Conference proceedings 2014 Springer-Verlag Berlin Hei

极小

Exploring the Search Space of Hardware / Software Embedded Systems by Means of GPicroprogram. Linear genetic programming is extended to evolve a program for the controller together with suitable hardware architecture. Experimental results show that the platform can automatically design general solutions as well as highly optimized specialized solutions to benchmark problems such as maximum, parity or iterative division.

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ALIAS

investigate

Intercept

记忆法

Semantic Crossover Based on the Partial Derivative Errors have traditionally been developed employing experimentally or theoretically-based approaches. Our current work proposes a novel semantic crossover developed amid the two traditional approaches. Our proposed semantic crossover operator is based on the use of the derivative of the error propagated t

trigger

A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems classification problems can be very complex, in particular when the number of classes is high. Although very successful in so many applications, GP was never regarded as a good method to perform multi-class classification. In this work, we present a novel algorithm for tree based GP, that incorpora

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