The latest book on Genetic Programming, Poli, Langdon and McPhee's (with contributions
from John R. Koza) A Field Guide to Genetic Programming represents an exciting landmark …

Genetic programming has now been used to produce at least 76 instances of results that are
competitive with human-produced results. These human-competitive results come from a …

In the past decades, different evolutionary optimization methodologies have been proposed
by scholars and exploited by practitioners, in a wide range of applications. Each paradigm …

The goal of having computers automatically solve problems is central to artificial
intelligence, machine learning, and the broad area encompassed by what Turing called …

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As the pervasiveness of social networks increases, new NP-hard related problems become
interesting for the optimization community. The objective of influence maximization is to …

Among Real-Time Strategy games few titles have enjoyed the continued success of
StarCraft. Many research lines aimed at develo** Artificial Intelligences, or “bots”, capable …

The complexity and heterogeneity of digital devices used in embedded systems is
increasing everyday and delivering a bug-free design is still a very complex task. The …

The instruction set architecture (ISA) specifies a contract between hardware and software; it
covers all possible operations that have to be performed by a processor, regardless of the …

Evolutionary algorithms greatly benefit from an optimal application of the different genetic
operators during the optimization process: thus, it is not surprising that several research …