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Evolutionary development of robotic organisms
Leibl, Marek ; Mráz, František (advisor) ; Holan, Tomáš (referee)
This work introduces a system for an evolutionary design of virtual organisms capable of effective movement in a simulated environment. The morphology and the control system are simultaneously developed by an evolutionary algorithms. The system also allows to design organisms in an editor and evolution of the control system with an immutable morphology. The quality evaluation and viewing of evolved organisms is done in a simulated 3D physical environment. The work put stress on the optimization of time and computing complexity of the evolutionary process. This optimization is achieved by using symmetry of organisms and their movement with HyperNEAT-generative encoding of synaptic values. Further optimization is achieved by limiting the variety of mutual module connections and focusing on the harmonic movement of organisms.
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Genetic algorithms in evolutionary robotics
Mašek, Michal ; Mráz, František (advisor) ; Černo, Peter (referee)
Through series of experiments this work compares effects of different types of genetic algorithms on evolution of a neural network that is used to control a robot. Genetic algorithms using binary and real coded individuals, algorithms using basic and advanced mutations and crossovers and algorithms using fixed and variable population size are compared on three tasks of evoltionary robotics. The goal is to determine wether usage of advanced genetic algorithms leads to faster convergence or to better solution than usage of basic genetic algorithm. Experiments are performed in an easily extendable simulator developed for purposes of this work.
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Evolutionary development of robotic organisms
Leibl, Marek ; Mráz, František (advisor) ; Holan, Tomáš (referee)
This work introduces a system for an evolutionary design of virtual organisms capable of effective movement in a simulated environment. The morphology and the control system are simultaneously developed by an evolutionary algorithms. The system also allows to design organisms in an editor and evolution of the control system with an immutable morphology. The quality evaluation and viewing of evolved organisms is done in a simulated 3D physical environment. The work put stress on the optimization of time and computing complexity of the evolutionary process. This optimization is achieved by using symmetry of organisms and their movement with HyperNEAT-generative encoding of synaptic values. Further optimization is achieved by limiting the variety of mutual module connections and focusing on the harmonic movement of organisms.
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