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This paper concerns evolutionary algorithms for minimization exclusive-or sum-of-products representations of Boolean functions. These representations are used in logic synthesis for certain class of circuits. Minimization is based on a decomposition for Boolean functions with parameter function. Selection of this function is a search task which can be solved with evolutionary algorithms. Algorithms...
Clustering is a fundamental and widely used method for grouping similar records in one cluster and dissimilar records in the different cluster. In cluster analysis, a major problem is to determine the appropriate number of cluster in advance. It is difficult for a user (data miner) to estimate the appropriate number of clusters in advance. Another limitation of a well-known clustering technique called...
Evolvable hardware (EHW) is a new field about the use of evolutionary algorithms (EA) to synthesize a circuit. Genetic algorithm (GA) is one of the typical EA. In traditional GA, the crossover is one-point crossover or two-point crossover. One-point crossover and two-point crossover change the genes of individuals too many in one time and they are not flexible, so it may lose some useful genes. In...
This paper presents how it is possible to increase the genetic programming (GP) computing power (CP) for free, via volunteer computing (VC), using the well known framework BOINC plus a new ``virtualization'' layer which adds all the benefits from the virtualization paradigm. Two different experiments, employing a standard GP tool and a complex GP system, are performed -with distributed PCs over several...
A circuit designed by human often results in very complex hardware architectures, requiring a large amount of manpower and computational resources. A wider objective is used to find novel solutions to design such complex architectures so that system functionality and performance may not be compromised. Design automation using reconfigurable hardware and evolutionary algorithms (EA), such as genetic...
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