Rafflesia Optimization Algorithm Applied in the Logistics Distribution Centers Location Problem

<p>Intelligent evolutionary algorithm is an important method to solve optimization problems. Most of their inspiration comes from the laws nature and biology. This paper proposes a new intelligent based on life habits Rafflesia, which called Rafflesia Optimization Algorithm. It mainly consists three stages: attracting insects, swallowing spreading seeds. In first stage, ROA performs local search find optimal solution. second it improves execution efficiency solution accuracy by reducing number individuals. third global jump out position. experimental part, this uses numerical functions (the CEC2013 benchmark function set) practical application problems logistics distribution centers location problem) test performance algorithm, compares with seven meta-heuristics algorithms. The results prove effectiveness practicability algorithm.</p> <p> </p>