Heuristic approach to the game of darts by using Genetic Algorithm and Ant Colony Optimization

Kamil Ksiazek; Wojciech Masarczyk; Iwona Nowak

Heuristic approach to the game of darts by using Genetic Algorithm and Ant Colony Optimization

Kamil Ksiazek
, Wojciech Masarczyk
, Iwona Nowak

Department of Mathematical Methods in Technology and Computer Science (RMS/RMS3)

Silesian University of Technology

Research output: Contribution to journal › Conference article › peer-review

3 Citations (Scopus)

Abstract

A paper illustrates the use of two metaheuristics: Genetic Algorithm and Ant Colony Optimization in darts play. The goal of the game is to hit on the centre of the dartboard. Both the creation of physical model and the optimization of the problem (based on heuristic algorithms) are presented in details. Two approaches are discussed and compared with respect to the results.

Original language	English
Pages (from-to)	33-38
Number of pages	6
Journal	CEUR Workshop Proceedings
Volume	1852
Publication status	Published - 2017
Event	2017 International Conference for Young Researchers in Informatics, Mathematics and Engineering, ICYRIME 2017 - Kaunas, Lithuania Duration: 28 Apr 2017 → …

Keywords

Ant Colony Optimization
Darts
Genetic Algorithm
Metaheuristics
Physical model

ASJC Scopus subject areas

General Computer Science

Cite this

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title = "Heuristic approach to the game of darts by using Genetic Algorithm and Ant Colony Optimization",

abstract = "A paper illustrates the use of two metaheuristics: Genetic Algorithm and Ant Colony Optimization in darts play. The goal of the game is to hit on the centre of the dartboard. Both the creation of physical model and the optimization of the problem (based on heuristic algorithms) are presented in details. Two approaches are discussed and compared with respect to the results.",

keywords = "Ant Colony Optimization, Darts, Genetic Algorithm, Metaheuristics, Physical model",

author = "Kamil Ksiazek and Wojciech Masarczyk and Iwona Nowak",

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year = "2017",

language = "English",

volume = "1852",

pages = "33--38",

journal = "CEUR Workshop Proceedings",

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TY - JOUR

T1 - Heuristic approach to the game of darts by using Genetic Algorithm and Ant Colony Optimization

AU - Ksiazek, Kamil

AU - Masarczyk, Wojciech

AU - Nowak, Iwona

PY - 2017

Y1 - 2017

N2 - A paper illustrates the use of two metaheuristics: Genetic Algorithm and Ant Colony Optimization in darts play. The goal of the game is to hit on the centre of the dartboard. Both the creation of physical model and the optimization of the problem (based on heuristic algorithms) are presented in details. Two approaches are discussed and compared with respect to the results.

AB - A paper illustrates the use of two metaheuristics: Genetic Algorithm and Ant Colony Optimization in darts play. The goal of the game is to hit on the centre of the dartboard. Both the creation of physical model and the optimization of the problem (based on heuristic algorithms) are presented in details. Two approaches are discussed and compared with respect to the results.

KW - Ant Colony Optimization

KW - Darts

KW - Genetic Algorithm

KW - Metaheuristics

KW - Physical model

UR - https://www.scopus.com/pages/publications/85021096136

M3 - Conference article

AN - SCOPUS:85021096136

SN - 1613-0073

VL - 1852

SP - 33

EP - 38

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2017 International Conference for Young Researchers in Informatics, Mathematics and Engineering, ICYRIME 2017

Y2 - 28 April 2017

ER -

Heuristic approach to the game of darts by using Genetic Algorithm and Ant Colony Optimization

Abstract

Keywords

ASJC Scopus subject areas

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