A novel path planning method of mobile robots based on an improved bat algorithm

In order to solve the global path planning problem of mobile robots, an improved bat algorithm based on inertial weight and Levy flight is proposed in this paper. The linear inertial weights are us...

[1]  R. Ganguli,et al.  Ply level uncertainty effects on failure curves and optimal design of laminated composites using directional bat algorithm , 2018 .

[2]  Lei Zou,et al.  On Global Smooth Path Planning for Mobile Robots using a Novel Multimodal Delayed PSO Algorithm , 2017, Cognitive Computation.

[3]  Ying Cui,et al.  An Improved Genetic Algorithm for Path-Planning of Unmanned Surface Vehicle , 2019, Sensors.

[4]  G. Wiselin Jiji,et al.  An enhanced particle swarm optimization with levy flight for global optimization , 2016, Appl. Soft Comput..

[5]  Ibraheem Kasim Ibraheem,et al.  Multi-Objective Path Planning of an Autonomous Mobile Robot in Static and Dynamic Environments using a Hybrid PSO-MFB Optimisation Algorithm , 2018, Appl. Soft Comput..

[6]  Kan Liu,et al.  Parameter Estimation for VSI-Fed PMSM Based on a Dynamic PSO With Learning Strategies , 2017, IEEE Transactions on Power Electronics.

[7]  Jing Xu,et al.  Horizontal Bending Angle Optimization Method for Scraper Conveyor Based on Improved Bat Algorithm , 2019, Algorithms.

[8]  Diego Reforgiato Recupero,et al.  A Boundary Node Method for path planning of mobile robots , 2020, Robotics Auton. Syst..

[9]  L DeepakB.B.V.,et al.  Optimal path planning of mobile robot using the hybrid cuckoo–bat algorithm in assorted environment , 2019, International Journal of Intelligent Unmanned Systems.

[10]  Chaojie Li,et al.  Exponential stability of stochastic high-order BAM neural networks with time delays and impulsive effects , 2013, Neural Computing and Applications.

[11]  Pradipta Kumar Das,et al.  Hybridization of Kidney-Inspired and Sine–Cosine Algorithm for Multi-robot Path Planning , 2020, Arabian Journal for Science and Engineering.

[12]  Xin Chen,et al.  A new bat algorithm based on iterative local search and stochastic inertia weight , 2018, Expert Syst. Appl..

[13]  Lijue Liu,et al.  Multi-point shortest path planning based on an Improved Discrete Bat Algorithm , 2020, Appl. Soft Comput..

[14]  Seyedali Mirjalili,et al.  Three-dimensional path planning for UCAV using an improved bat algorithm , 2016 .

[15]  Xin-She Yang,et al.  New directional bat algorithm for continuous optimization problems , 2017, Expert Syst. Appl..

[16]  R. M. Rizk-Allah,et al.  New binary bat algorithm for solving 0–1 knapsack problem , 2017, Complex & Intelligent Systems.

[17]  A. Lazarowska,et al.  Discrete Artificial Potential Field Approach to Mobile Robot Path Planning , 2019, IFAC-PapersOnLine.

[18]  Jianjun Luo,et al.  A convergence-guaranteed particle swarm optimization method for mobile robot global path planning , 2017 .

[19]  Ioannis S. Triantafyllou,et al.  Wilcoxon‐type rank‐sum statistics for selecting the best population: Some advances , 2020 .

[20]  Mohammed Essaid Riffi,et al.  A novel discrete bat algorithm for solving the travelling salesman problem , 2015, Neural Computing and Applications.

[21]  Hanning Chen,et al.  Unmanned vehicle path planning using a novel ant colony algorithm , 2019, EURASIP Journal on Wireless Communications and Networking.