文章基本信息

标题：The impact of population composition for cooperation emergence in evolutionary robotics
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作者：Rodrigo Palacios-Leyva ; Fernando Aldana-Franco ; Bruno Lara-Guzmán 等
期刊名称：International Journal of Combinatorial Optimization Problems and Informatics
印刷版ISSN：2007-1558
电子版ISSN：2007-1558
出版年度：2017
卷号：8
期号：3
页码：20-32
语种：English
出版社：International Journal of Combinatorial Optimization Problems and Informatics
其他摘要：Communication is an important tool for evolutionary robot ic s. Some important aspects are the emergence of signals, the environment, and manipulation of social and evolutionary variables. In this paper we focus on social aspects related to exploration in poison ed and food environment s . These aspects are as follows : a) intermedia te levels of heterogeneity in population of evolutionary robots, and b) cooperation of robots for fitness contribution to regulate the emergence of communication signals. The FARSA simulator and Marxbot robot are used in order to opti mize the weight s of neural networks using a steady state genetic algorithm. A basic communication system is developed based on color LEDs and linear cameras.
其他关键词：Evolutionary Robotics; Neural Networks ; Communication S ignals ; FARSA; M arxbot.