Artificial Life: An Overview
A Comprehensive Overview of the Applications of Artificial Life
Artificial Life
Task-driven species in evolutionary robotic teams
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation - Volume Part I
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In this paper we discuss the relevance of performing a population dynamics analysis to improve the results obtained using agent-based artificial life systems for optimization. The present study derives from our work trying to solve engineering optimization problems using a distributed approach based on agent's interactions. We have realized that a simple analysis of the population dynamics can show the relevance of some variables and energy exchange rates in the stability of the system. The results obtained can be used to control the equilibrium points and/or avoid nonconvergence (population extinctions) by changing the initial conditions or the parameters of the energetic model used in the system. To illustrate the results of such population dynamics analysis, a practical example based on a routing algorithm is presented.