Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Nikolaos Chatzinikolaou"'
Publikováno v:
Elgar Encyclopedia of Crime and Criminal Justice ISBN: 9781789902990
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcc814797a700b153309713d08241da8
https://doi.org/10.4337/9781789902990.offences.of.endangerment
https://doi.org/10.4337/9781789902990.offences.of.endangerment
Publikováno v:
Elgar Encyclopedia of Crime and Criminal Justice ISBN: 9781789902990
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b939eb2d57f5c89580906b38773e9d1
https://doi.org/10.4337/9781789902990.greece
https://doi.org/10.4337/9781789902990.greece
Autor:
Nikolaos Chatzinikolaou
This chapter describes the ethos and approach of the Orthodox Church on issues pertaining to the dialogue between theology and science. It presents the official statements of the Orthodox Church expressed in the Holy and Great Synod of Crete as well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afe0549ebe01dc8b44d4b3fb4bc6b3dd
https://doi.org/10.1093/oxfordhb/9780190948658.013.42
https://doi.org/10.1093/oxfordhb/9780190948658.013.42
Autor:
Nikolaos Chatzinikolaou
Publikováno v:
Controlling Immigration Through Criminal Law
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf50989c2e8b3c5a85d2d2e1d0f2f099
https://doi.org/10.5040/9781509933952.ch-008
https://doi.org/10.5040/9781509933952.ch-008
Publikováno v:
GECCO
Little attention has been paid to the relationship between fitness evaluation in evolutionary algorithms and reputation mechanisms in multi-agent systems, but if these could be related it opens the way for implementation of distributed evolutionary s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d38e1d1ba1cce5dc277d9e56bba4c8bd
https://doi.org/10.1145/2330163.2330300
https://doi.org/10.1145/2330163.2330300
Autor:
Nikolaos Chatzinikolaou
Publikováno v:
Enterprise Information Systems ISBN: 9783642198014
ICEIS
ICEIS
In this paper we present an agent-based, peer-to-peer genetic algorithm capable of self-adaptation. We describe a preliminary architecture to that end, in which each agent is executing a local copy of a GA, using initially random parameters (currentl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1af54cc9012d445e37fe0654ecfb2135
https://doi.org/10.1007/978-3-642-19802-1_12
https://doi.org/10.1007/978-3-642-19802-1_12