Author of the publication

Neuroevolution Based Multi-Agent System with Ontology Based Template Creation for Micromanagement in Real-Time Strategy Games.

, , and . Inf. Technol. Control., 43 (1): 98-109 (2014)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Framework for Enabling Scalable Learning Game AI., , and . ENASE, page 189-196. SciTePress, (2013)Data mining considerations for knowledge acquisition in real time strategy games., , and . SISY, page 331-336. IEEE, (2013)Applying Self-* Principles in Heterogeneous Cloud Environments., , , , and . Cloud Computing, 2nd Ed., Springer, (2017)Neuroevolution based multi-agent system for micromanagement in real-time strategy games., , and . BCI, page 32-39. ACM, (2012)M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications., , , , , , , and . PDP, page 72-79. IEEE, (2020)An Overview of Monitoring Tools for Big Data and Cloud Applications., and . SYNASC, page 363-366. IEEE Computer Society, (2015)Autotuning of Exascale Applications With Anomalies Detection., , , , , and . Frontiers Big Data, (2021)TUFA: A TOSCA extension for the specification of accelerator-aware applications in the Cloud Continuum., , and . COMPSAC, page 1178-1183. IEEE, (2022)SERRANO: Transparent Application Deployment in a Secure, Accelerated and Cognitive Cloud Continuum., , , , , , , , , and 12 other author(s). MeditCom, page 55-60. IEEE, (2021)Evolutionary Approach to Negotiation in Game AI., , and . SYNASC, page 296-302. IEEE Computer Society, (2013)