Benchmark tests on heuristic methods in the darts game

Kamil Ksiazek; Dawid Połap; Marcin Wozniak

doi:10.24425/119358

Benchmark tests on heuristic methods in the darts game

Kamil Ksiazek
, Dawid Połap
, Marcin Wozniak

Department of Artificial Intelligence Modelling (RMS/RMS2)

Silesian University of Technology

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Games are among problems that can be reduced to optimization, for which one of the most universal and productive solving method is a heuristic approach. In this article we present results of benchmark tests on using 5 heuristic methods to solve a physical model of the darts game. Discussion of the scores and conclusions from the research have shown that application of heuristic methods can simulate artificial intelligence as a regular player with very good results.

Original language	English
Pages (from-to)	115-121
Number of pages	7
Journal	International Journal of Electronics and Telecommunications
Volume	64
Issue number	2
DOIs	https://doi.org/10.24425/119358
Publication status	Published - 2018

Keywords

Computational intelligence
Metaheuristics
Optimization

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

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10.24425/119358

Cite this

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title = "Benchmark tests on heuristic methods in the darts game",

abstract = "Games are among problems that can be reduced to optimization, for which one of the most universal and productive solving method is a heuristic approach. In this article we present results of benchmark tests on using 5 heuristic methods to solve a physical model of the darts game. Discussion of the scores and conclusions from the research have shown that application of heuristic methods can simulate artificial intelligence as a regular player with very good results.",

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AU - Połap, Dawid

AU - Wozniak, Marcin

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AB - Games are among problems that can be reduced to optimization, for which one of the most universal and productive solving method is a heuristic approach. In this article we present results of benchmark tests on using 5 heuristic methods to solve a physical model of the darts game. Discussion of the scores and conclusions from the research have shown that application of heuristic methods can simulate artificial intelligence as a regular player with very good results.

KW - Computational intelligence

KW - Metaheuristics

KW - Optimization

UR - https://www.scopus.com/pages/publications/85048835102

U2 - 10.24425/119358

DO - 10.24425/119358

M3 - Article

AN - SCOPUS:85048835102

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JO - International Journal of Electronics and Telecommunications

JF - International Journal of Electronics and Telecommunications

IS - 2

ER -

Benchmark tests on heuristic methods in the darts game

Abstract

Keywords

ASJC Scopus subject areas

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