A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
Synchronization algorithms that are efficient across a wide range of applications and operating conditions are hard to design because their performance depends on unpredictable ru...
Abstract We consider a form of phenotype plasticity in Genetic Programming (GP). This takes the form of a set of real-valued numerical parameters associated with each individual, a...
Program slicing is a well-known methodology that aims at identifying the program statements that (potentially) affect the values computed at some point of interest. Within imperat...
In this paper we present a new form of revocable lock that streamlines the construction of higher level concurrency abstractions such as atomic multi-word heap updates. The key id...