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

This paper proposes an optimization algorithm based on human fightand learn from each duelist. The proposed algorithm starts with an initial set ofduelists. The duel is to determine the winner and loser. The loser learns from thewinner, while the winner try their new skill or technique that may improve theirfighting capabilities. A few duelists with highest fighting capabilities are calledas champion. The champion train a new duelist such as their capabilities. Thenew duelist will join the tournament as a representative of each champion. Allduelist are re-evaluated, and the duelists with worst fighting capabilities iseliminated to maintain the amount of duelists. Several benchmark functions isused in this work. The results shows that Duelist Algorithm outperform otheralgorithms in several functions.