Archery Algorithm: A Novel Stochastic Optimization Algorithm for Solving Optimization Problems

Finding a suitable solution to an optimization problem designed in science is major challenge. Therefore, these must be addressed utilizing proper approaches. Based on random search space, algorithms can find acceptable solutions problems. Archery Algorithm (AA) new stochastic approach for addressing problems that discussed this study. The fundamental idea of developing the suggested AA imitate archer's shooting behavior toward target panel. proposed algorithm updates location each member population dimension space by randomly marked archer. mathematically described, and its capacity solve evaluated twenty-three distinct types objective functions. Furthermore, algorithm's performance compared vs. eight approaches, including teaching-learning based optimization, marine predators algorithm, genetic grey wolf particle swarm whale gravitational tunicate algorithm. According simulation findings, has good tackle issues both unimodal multimodal scenarios, it give adequate quasi-optimal analysis comparison competing algorithms’ with demonstrates superiority competitiveness AA.