Oct 2, 2014 · In this paper, we take some initial theoretical steps towards developing an efficient genetic algorithm for solving the placement problem by developing ...

The methodology is then used to guide the development of novel operators that exhibit substantial (and statistically significant) improvements in performance ...

This paper contributes the development of an intuitive visualization technique that can be used to easily detect violations of the previous principle and is ...

According to Holland, when the genetic algorithm recombines two parent genotypes, the differences between them define a genotypic subspace, and any offspring...

Advancing genetic algorithm approaches to field programmable gate array placement with enhanced recombination operators. R Collier, C Fobel, R Pattison, G ...

Advancing genetic algorithm approaches to field programmable gate array placement with enhanced recombination operators. by Shawki Areibi and Ryan Pattison.

"Advancing genetic algorithm approaches to field programmable gate array placement with enhanced recombination operators" Robert Collier, Christian Fobel ...

Advancing Genetic Algorithm Approaches to Field Programmable Gate Array Placement with Enhanced Recombination Operators Evolutionay Intelligence, Volume ...

Advancing genetic algorithm approaches to field programmable gate array placement with enhanced recombination operators. Robert Collier; Christian Fobel; Peter ...

This paper presents an artificial neural network (ANN) based parallel evolutionary solution to the placement and routing problems for field programmable ...