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pro vyhledávání: '"Alexandre Devert"'
Autor:
Alexandre Devert
Key FeaturesBook DescriptionThis book follows a cookbook style approach that puts orthogonal and non-redundant recipes in your hands. Rather than rehashing the user manual, the explanations expose the underlying logic behind Matplotlib. If you are an
Publikováno v:
IEEE Transactions on Evolutionary Computation. 15:387-404
Most works in multicellular artificial ontogeny solve the halting problem by arbitrarily limiting the number of iterations of the developmental process. Hence, the trajectory of the developing organism in the phenotypic space is only required to come
Publikováno v:
CIPLS
This paper presents an Evolutionary Algorithm using a new ontogenic approach, called Staged Developmental Genetic Programming (SDGP), for solving symmetric Traveling Salesman Problems (TSPs). In SDGP, a genotype-phenotype mapping (gpm) is used to ref
Publikováno v:
GECCO
A developmental, ontogenic approach to Capacitated Arc Routing Problems (CARPs) is introduced. The genotypes of this method are constructive heuristics specified as trees of mathematical functions which are evolved with Genetic Programming (GP). In a
Publikováno v:
Evolutionary computation. 20(3)
This paper presents a comparative study of two indirect solution representations, a generative and an ontogenic one, on a set of well-known 2D truss design problems. The generative representation encodes the parameters of a trusses design as a mappin
Autor:
Alexandre Devert
Publikováno v:
GECCO
Within the evolutionary computation community, there is a strong consensus to agreed on the need of indirect representations to achieve scalability. But no such consensus has been yet found on how to design an indirect representation. An idea to buil
Publikováno v:
Genetic and Evolutionary Computation COnference
Genetic and Evolutionary Computation COnference, ACM SIGEVO, Jul 2007, London, United Kingdom. pp.982-989
GECCO
Genetic and Evolutionary Computation COnference, ACM SIGEVO, Jul 2007, London, United Kingdom. pp.982-989
GECCO
This paper introduces a continuous model for Multi-cellular Developmental Design. The cells are fixed on a 2D grid and exchange "chemicals" with their neighbors during the growth process. The quantity of chemicals that a cell produces, as well as the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a36ad4b8baac7f64d6e1b5e999d8f4ce
https://hal.inria.fr/inria-00145336/document
https://hal.inria.fr/inria-00145336/document
Publikováno v:
Evolution Artificielle
Evolution Artificielle, Oct 2007, Tours, France. pp.278-290
Lecture Notes in Computer Science ISBN: 9783540793045
Artificial Evolution
Evolution Artificielle, Oct 2007, Tours, France. pp.278-290
Lecture Notes in Computer Science ISBN: 9783540793045
Artificial Evolution
International audience; Echo State Networks (ESN) have demonstrated their efficiency in supervised learning of time series: a "reservoir" of neurons provide a set of dynamical systems that can be linearly combined to match the target dynamics, using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df0c229ce10838170571c6440c2a3722
https://hal.inria.fr/inria-00174593
https://hal.inria.fr/inria-00174593
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540331438
EuroGP
EUROGP 2006
EUROGP 2006, EvoNet, Apr 2006, Budapest, Hungary, pp.61--72
EuroGP
EUROGP 2006
EUROGP 2006, EvoNet, Apr 2006, Budapest, Hungary, pp.61--72
This paper introduces a new representation for assemblies of small Lego®-like elements: structures are indirectly encoded as construction plans. This representation shows some interesting properties such as hierarchy, modularity and easy constructib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcb5649f1d65ca236d7af46f664a76e1
https://doi.org/10.1007/11729976_6
https://doi.org/10.1007/11729976_6