CTOA: Toward a Chaotic-Based Tumbleweed Optimization Algorithm

Metaheuristic algorithms are an important area of research in artificial intelligence. The tumbleweed optimization algorithm (TOA) is the newest metaheuristic that mimics growth and reproduction tumbleweeds. In practice, chaotic maps have proven to be improved method algorithms, allowing jump out local optimum, maintain population diversity, improve global search ability. This paper presents a chaotic-based (CTOA) incorporates into process TOA. By using 12 common maps, proposed CTOA aims diversity exploration prevent from falling optima. performance tested 28 benchmark functions CEC2013, results show circle map most effective improving accuracy convergence speed CTOA, especially 50D.