In this paper the effects of introducing novelty search in evolutionary art are explored. Our
algorithm combines fitness and novelty metrics to frame image evolution as a multi-objective …

Roughly described, an evolutionary data mining system includes at least two processing
units, each having a pool of candidate individuals in which each candidate individual has a …

An important benefit of multi-objective search is that it maintains a diverse population of
candidates, which helps in deceptive problems in particular. Not all diversity is useful …

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5920848 5930780 5968045 5970487 6001, 100 6010503 6059818 6088690 6.240. 399 B1 …

An important benefit of multi-objective search is that it maintains a diverse population of
candidates, which helps in deceptive problems in particular. Not all diversity is useful …

A method for finding a solution to a problem is provided. The method includes storing
candidate individuals in a candidate pool and evolving the candidate individuals by …

Novelty search is a powerful biologically motivated method for discovering successful
behaviors especially in deceptive domains, like those in artificial life. This paper extends the …

This position article argues that the sciences of the artificial (artificial intelligence and
artificial life) have a special relationship to art that is absent from much of science. Just as art …

In a recent study we have encountered an unexpected result regarding the evolutionary
exploration of robot morphology spaces. Specifically, we found that an algorithm driven by …

(57) ABSTRACT A process for training and sharing generic functional modules across
multiple diverse (architecture, task) pairs for solving multiple diverse problems is described …