Name
Abstract | ||
|---|---|---|
Aiming at the phenomenon of slow convergence rate and low accuracy of bat algorithm, a novel bat algorithm based on differential operator and Levy flights trajectory is proposed. In this paper, a differential operator is introduced to accelerate the convergence speed of proposed algorithm, which is similar to mutation strategy "DE/best/2" in differential algorithm. Levy flights trajectory can ensure the diversity of the population against premature convergence and make the algorithm effectively jump out of local minima. 14 typical benchmark functions and an instance of nonlinear equations are tested; the simulation results not only show that the proposed algorithm is feasible and effective, but also demonstrate that this proposed algorithm has superior approximation capabilities in high-dimensional space. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1155/2013/453812 | COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE |
Keywords | Field | DocType |
benchmarking,algorithms,neuroscience,intelligence,computational,nonlinear dynamics,and | Convergence (routing),Population,Mathematical optimization,Nonlinear system,Bat algorithm,Premature convergence,Computer science,Differential operator,Rate of convergence,Trajectory | Journal |
Volume | Issue | ISSN |
2013 | null | 1687-5265 |
Citations | PageRank | References |
38 | 1.59 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jian Xie | 1 | 38 | 1.59 |
| Yongquan Zhou | 2 | 431 | 48.08 |
| Huan Chen | 3 | 72 | 2.75 |