Duelist Algorithm: An Algorithm Inspired by How Duelist Improve Their Capabilities in a Duel

Version 1.0.0.0 (6.9 KB) by Totok Biyanto
Duelist Algorithm, Author : Totok Ruki Biyanto (TRB) and Henokh Yernias Fibrianto
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Updated 15 Jul 2016

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Duelist Algorithm
Author : Totok Ruki Biyanto (TRB) and Henokh Yernias Fibrianto
Email : trb@ep.its.ac.id; trbiyanto@gmail.com; joelhenokh@gmail.com
Book : Advances in Swarm Intelligence: 7th International Conference, ICSI https://books.google.co.id/books?isbn=3319410008
Article DOI : 10.1007/978-3-319-41000-5_4
The proposed optimization algorithm starts with an initial set of duelists. The duel is to determine the winner and loser. The loser learns from the winner, while the winner try their new skill or technique that may improve their fighting capabilities. A few duelists with highest fighting capabilities are called as champion. The champion train a new duelist such as their capa-bilities. The new duelist will join the tournament as a representative of each champion. All duelist are re-evaluated, and the duelists with worst fighting capabilities is eliminated to maintain the amount of duelists

Cite As

Totok Biyanto (2025). Duelist Algorithm: An Algorithm Inspired by How Duelist Improve Their Capabilities in a Duel (https://se.mathworks.com/matlabcentral/fileexchange/58248-duelist-algorithm-an-algorithm-inspired-by-how-duelist-improve-their-capabilities-in-a-duel), MATLAB Central File Exchange. Retrieved .

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Created with R2012a
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Version Published Release Notes
1.0.0.0