A New Optimization Algorithm and Its Comparison on Traditional Optimization Algorithms

Bio-inspired algorithm is a kind of algorithm proposed by simulating biological evolution or social behavior in nature. This kind of algorithm can solve many complex optimization problems, such as assignment problem, knapsack problem, travel path problem and so on, which are difficult to solve by traditional methods. Presently, bio-inspired algorithms have received a significant amount of attention in both academic and engineering societies. This paper presents a new bio-inspired algorithm, termed beetle antennae search (BAS) algorithm. First, inspired by the foraging behavior of beetles, the principle of BAS algorithm is presented. Then, two application examples are conducted to evaluate the effectiveness of BAS algorithm. Importantly, to substantiate the advantage of BAS algorithm, abundant comparative experiments are provided. Experiment results reveal that the BAS algorithm is superior to the other algorithms.