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Evolving EFSMs solving a path-planning problem by genetic programming

Published: 07 July 2012 Publication History

Abstract

In this paper, we present an approach to evolving of an algorithm encoded as an extended finite-state machine that solves a simple path-planning problem - finding a path in an unknown area filled with obstacles using a constant amount of memory - by means of genetic programming. Experiments show that in 100% of cases a reasonably correct EFSM with behavior similar to one of the BUG algorithms is evolved.

References

[1]
Source code for the fitness function. http://goo.gl/XGwPq.
[2]
Watchmaker framework for evolutionary computation. http://watchmaker.uncommons.org/.
[3]
V. Danilov and A. Shalyto. Genetic programming method for induction of finite state machines represented as decision trees. In Proceedings of XI International Conference on Soft Computations and Measurements, pages 248--251, 2008.
[4]
V. Gurov, M. Mazin, A. Narvsky, and A. Shalyto. Tools for support of automata-based programming. Programming and Computer Software, 33(6):343--355, 2007.
[5]
I. Kamon, E. Rivlin, and E. Rimon. A new range-sensor based globally convergent navigation algorithm for mobile robots. In Proceedings of IEEE International Conference on Robotics and Automation, number 1, pages 429--435, 1996.
[6]
V. Lumelsky and A. Stepanov. Path planning strategies for a point mobile automaton moving amidst unknown obstacles of arbitraty shape. Algorithmica, 2:403--430, 1987.
[7]
N. Polikarpova and A. Shalyto. Automata-based Programming, 2nd Edition (in Russian). Piter, 2011.
[8]
A. Shalyto. Logic control and reactive systems: Algorithmization and programming. Automation and Remote Control, 62(1):1--29, 2001.

Cited By

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  • (2014)Formal Verification of 800 Genetically Constructed Automata Programs: A Case StudyHardware and Software: Verification and Testing10.1007/978-3-319-13338-6_13(165-170)Online publication date: 2014

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cover image ACM Conferences
GECCO '12: Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
July 2012
1586 pages
ISBN:9781450311786
DOI:10.1145/2330784
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 July 2012

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Author Tags

  1. bug algorithms
  2. finite-state machine
  3. genetic programmming
  4. path-planning problem

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  • Research-article

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GECCO '12
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GECCO '12: Genetic and Evolutionary Computation Conference
July 7 - 11, 2012
Pennsylvania, Philadelphia, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Cited By

View all
  • (2014)Formal Verification of 800 Genetically Constructed Automata Programs: A Case StudyHardware and Software: Verification and Testing10.1007/978-3-319-13338-6_13(165-170)Online publication date: 2014

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