Spider-Tailed Horned Viper Optimization: An Effective Bio-Inspired Metaheuristic Algorithm for Solving Engineering Applications
International journal of intelligent engineering and systems · 2024
This study presents a new optimization algorithm called Spider-Tailed Horned Viper Optimization (STHVO), inspired by the spider-tailed horned viper.The viper's unique hunting strategy, which involves using its spider-like tail to attract prey, serves as the basis for this algorithm.STHVO incorporates two key processes: exploration and exploitation.Exploration allows the algorithm to search broadly for potential solutions, similar to how the viper moves through varied terrains in search of prey.Exploitation refines these solutions, akin to the snake focusing on its target once it has been lured.STHVO was rigorously tested across twenty-three benchmark functions, including unimodal and multimodal test suites.These benchmarks provide a comprehensive framework for assessing the algorithm's performance.The results showed that STHVO effectively balances exploration and exploitation, consistently finding high-quality solutions and outperforming a dozen established metaheuristic algorithms on most benchmarks.The algorithm's superior performance in both theoretical and practical contexts highlights its robustness and versatility.Overall, STHVO offers a novel, nature-inspired approach to optimization, proving to be a powerful tool for achieving optimal solutions across diverse applications.