JR Koza - Genetic programming and evolvable machines, 2010 - Springer
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 …
R Poli, J Koza - … : Introductory tutorials in optimization and decision …, 2013 - Springer
Genetic Programming | SpringerLink Skip to main content Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research Search Cart Book cover …
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 developing 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 increasing complexity of products and processes leads directly to the growing intricacy of the problems and issues the industrial world is facing. More and more often, traditional …
J Belluz, M Gaudesi, G Squillero, A Tonda - Proceedings of the 2015 …, 2015 - dl.acm.org
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 …