Analysing Fitness Landscape Changes in Evolutionary Robots

Autor(es)

Tinos, Renato ; Soule, T

• Tipo de documento: Artigo Científico
• Fonte: PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTATION COMPANION (GECCO'12); v. N/A, p. 8-pg., 2012-01-01.

Resumo

In this work, the modifications in the fitness landscape in two simple Dynamic Optimization Problems involving Evolutionary Robots are theoretically investigated. In the first dynamic problem, a robot with control laws optimized by a Genetic Algorithm should navigate in a simple environment. The changes in the fitness landscape are caused in this case by sensor faults. The second problem investigated here is when Evolutionary Robots are employed to reproduce the behaviour of rats in a maze. Changes in the rat's condition cause the modification in the fitness landscape. Simulations using the exact model of the Genetic Algorithm in each problem are presented, what allows studying the dynamical behaviour of the population of the GA, helping in the analysis of the performance obtained in practice. (AU)

• Processo FAPESP: 10/09273-1 - Robôs evolutivos na investigação de modelos comportamentais de ratos em um labirinto em cruz elevado
• Beneficiário: Renato Tinós
• Modalidade de apoio: Auxílio à Pesquisa - Regular