Evolutionary computation variants for cooperative spatial coordination

Abstract- This paper presents a comparative study between genetic and probabilistic search approaches of evolutionary computation. They are both applied for optimizing the behavior of multiple neural-controlled homogeneous agents whose spatial coordination tasks can only be successfully achieved through emergent cooperation. Both approaches demonstrate effective solutions of high performance; however, the genetic search approach appears to be both more robust and computationally preferred for this multi-agent case study.

• Type: Conference
• Year: 2005
• Where: CEC
• Authors: Georgios N. Yannakakis, John Hallam, John Levine
• Keywords: Artificial Intelligence, CEC 2005, Neural-controlled Homogeneous Agents, Probabilistic Search Approaches, Spatial Coordination Tasks