Abstract- Dynamic swarm behaviour is difficult to design manually. Multiple, simultaneous interactions among a large number of agents, make the relationship between a parameter cha...
Abstract. We aim to construct an automatic system for the discovery of collision-based universal cellular automata that simulate Turing machines in their space-time dynamics using ...
The CLA-EC is a model obtained by combining the concepts of cellular learning automata and evolutionary algorithms. The parallel structure of the CLA-EC makes it suitable for hard...
This paper describes the simulation of a foraging agent in an environment with a simple ecological structure, alternatively using one of three different control systems with varyi...
This paper presents an evolutionary algorithm for solving parameter optimization problems in parametric array signal processing. The method utilises the niche concept to maintain a...