Improving Coevolutionary Search for Optimal Multiagent Behaviors

  title={Improving Coevolutionary Search for Optimal Multiagent Behaviors},
  author={Liviu Panait and R. Paul Wiegand and Sean Luke},
Evolutionary computation is a useful technique for learning behaviors in multiagent systems. Among the several types of evolutionary computation, one natural and popular method is to coevolve multiagent behaviors in multiple, cooperating populations. Recent research has suggested that coevolutionary systems may favor stability rather than performance in some domains. In order to improve upon existing methods, this paper examines the idea of modifying traditional coevolution, biasing it to… CONTINUE READING