Investigation on Evolutionary Synthesis of Movement Commands

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F09%3A63507972" target="_blank" >RIV/70883521:28140/09:63507972 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Investigation on Evolutionary Synthesis of Movement Commands

Original language description

This paper deals with usage of an alternative tool for symbolic regression ? analytic programming which is able to solve various problems from the symbolic domain as well as genetic programming and grammatical evolution. This paper describes a setting ofan optimal trajectory for a robot (originally designed as an artificial ant on Santa Fe trail) solved by means of analytic programming. Firstly, main principles of analytic programming are described and explained. The second part shows how analytic programming was used for the application of finding of a suitable trajectory step by step. Because analytic programming needs evolutionary algorithms for its run, three evolutionary algorithms were used ? Self Organizing Migrating Algorithm, Differential Evolution and Simulated Annealing ? to show that anyone can be used. The total number of simulations was 150 and results show that the first two used algorithms were more successful than not so robust Simulated Annealing.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

<a href="/en/project/GA102%2F09%2F1680" target="_blank" >GA102/09/1680: Control Algorithm Design by Means of Evolutionary Approach</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2009

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Modelling and Simulation in Engineering

ISSN

1687-5591

e-ISSN

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Volume of the periodical

2009

Issue of the periodical within the volume

845080

Country of publishing house

US - UNITED STATES

Number of pages

12

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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