Solving the balance problem of massively multiplayer online role-playing games using coevolutionary programming

[Display omitted] •We proposed a coevolutionary design method to solve the balance problem of massively multiplayer online role-playing games.•We demonstrated the theoretical evidence of why the cooperative coevolution algorithm is usually faster than Simple Genetic Algorithm.•By enabling the elitis...

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Vydáno v:	Applied Soft Computing Ročník 18; s. 1 - 11
Hlavní autoři:	Chen, Haoyang, Mori, Yasukuni, Matsuba, Ikuo
Médium:	Journal Article
Jazyk:	angličtina japonština
Vydáno:	Elsevier B.V 01.05.2014 Elsevier BV
Témata:	Coevolutionary programming Cooperative coevolutionary algorithm Game balance Game design Multi-objective optimization Probabilistic incremental program evolution Game design Game balance Coevolutionary programming Probabilistic incremental program evolution NUR Multi-objective optimization Cooperative coevolutionary algorithm AIF ACTR
ISSN:	1568-4946, 1872-9681
On-line přístup:	Získat plný text
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