A self-adaptive discrete PSO algorithm with heterogeneous parameter values for dynamic TSP
This paper presents a discrete particle swarm optimization (DPSO) algorithm with
heterogeneous (non-uniform) parameter values for solving the dynamic traveling salesman …
heterogeneous (non-uniform) parameter values for solving the dynamic traveling salesman …
An Efficient 2-opt Operator for the Robotic Task Sequencing Problem
H Li, SY Liu, YW Huang, YQ Chen… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Nowadays, automated guided vehicles (AGVs) are widely used in many real life
applications, such as in modern factories and logistics systems. Generally, an AGV is …
applications, such as in modern factories and logistics systems. Generally, an AGV is …
Adaptive task planning and motion planning for robots in dynamic environments
C Wong - 2020 - stax.strath.ac.uk
Emerging applications involving a high degree of uncertainty, dynamics, variability and
unpredictability have begun to impart greater complexity to tasks performed by robots. In …
unpredictability have begun to impart greater complexity to tasks performed by robots. In …
A self-adaptive discrete PSO algorithm with Heterogeneous parameter
This paper presents a discrete particle swarm optimization (DPSO) algorithm with
heterogeneous (non-uniform) parameter values for solving the dynamic traveling salesman …
heterogeneous (non-uniform) parameter values for solving the dynamic traveling salesman …