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The population size in evolutionary computation is a significant parameter affecting computational effort and the ability to successfully evolve solutions. We find that population size sensitivity - how much a genetic program's efficiency varies with population size - is correlated with problem complexity. An analysis of population sizes was conducted using(More)
Recently there has been considerable interest in determining whether, and how much, evolutionary pressure for genetic robustness influences evolutionary processes. In this paper, we attempt to show that this evolutionary pressure does have a significant effect in typical genetic programming problems. Specifically we demonstrate that in a standard genetic(More)
The use of synthetic imagery for testing biometric systems is relatively new and in need of further exploration. In this paper, we describe methods and procedures for using synthetic images generated from shape and texture data to refine and extend the current state of the art of face recognition performance testing. Two example experiments are presented(More)
Digitally assisted collaboration is an emerging paradigm for the next generation of information systems. Computer-Supported Cooperative Work (CSCW) involves the use of computers to support coordination and cooperation of two or more people who attempt to perform a task or solve problems together. Infrastructure and tools for enabling distributed(More)
In this paper we test whether a correlation exists between the optimal mutation rate and problem difficulty. We find that the range of optimal mutation rates is inversely proportional to problem difficulty. We use numerical sweeps of the mutation rate parameter to probe a problem with tunable difficulty. The tests include 3 different types of individual(More)
We hypothesize that the relationship between parameter settings, specifically parameters controlling mutation, and performance is non-linear in genetic programs. Genetic programming environments have few means for a priori determination of appropriate parameters values. The hypothesized nonlinear behavior of genetic programming creates difficulty in(More)
Traditional real-time operating system vendors have recently started to consider Java as a potential platform in real-time operating system products and embedded solutions. Specification status and implementation towards an industry standard application-programming interface are split between two consortiums striving to introduce different paradigms of Java(More)
Traditional real-time operating system vendors have recently started to consider Java as a potential platform in real-time operating system products and embedded solutions. Specification status and implementation towards an industry standard application-programming interface are split between two consortiums striving to introduce different paradigms of Java(More)
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