A new hybrid intelligence algorithm for global optimization in logistics distribution system

Modern city logistics plays an important role in developing economics, so many intelligent algorithms are employed to solve the problem locating the product distribution centers to minimize the total cost. Many factors affecting the cost must be taken into account. This paper proposes mathematical model of the problem and introduces a new hybrid intelligent algorithm by combining particle swarm optimization algorithm with gradient descent algorithm. Numerical experiments demonstrate the proposed algorithm has a better performance than those compared.