Incollection,

The Automatic Generations of Plans for a Mobile Robot via Genetic Programming with Automatically Defined Functions

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Advances in Genetic Programming, chapter 18, MIT Press, (1994)

Abstract

Planning is the creation of programs to control an agent, such as a robot. Traditionally, planners have maintained a logical model of the agent's world and planned by reasoning about what plans do to that world. In this chapter I describe a new planner, the Genetic Planner, that uses artificial selection, sexual mixing (recombination) and fitness proportionate reproduction to breed computer programs (i.e., to plan). This planner uses a simulation of the world to execute candidate computer programs (i.e., candidate plans). I first describe this planner and then I show it at work on a simple problem---a robot on a 2-D grid. Also, Koza's Automatically Defined Functions (ADFs) are used and the results compared with the non-ADF genetic programming system.

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