Hybrid topology-based particle swarm optimizer for multi-source location problem in swarm robots
A multi-source location problem aims to locate sources in an unknown environment based
on the measurements of the signal strength from them. Vast majority of existing multi-source …
on the measurements of the signal strength from them. Vast majority of existing multi-source …
Virtual-Source and Virtual-Swarm-Based Particle Swarm Optimizer for Large-Scale Multi-Source Location via Robot Swarm
JQ Zhang, YX Lin, MC Zhou - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Multi-source location is a significant application in the field of robot swarm and is required to
find all sources whose number and distribution are unknown in advance. With few …
find all sources whose number and distribution are unknown in advance. With few …
PSO-based sparse source location in large-scale environments with a uav swarm
Locating multiple sources in an unknown environment based on their signal strength is
called a multi-source location problem. In recent years, there has been great interest in …
called a multi-source location problem. In recent years, there has been great interest in …
Solving Source Location Problems with Particle Swarm Optimizer and Height Information
Recently, there has been great interest in utilizing robot swarm to solve source location
problems. A particle swarm optimizer (PSO) is among the most popular method. To our best …
problems. A particle swarm optimizer (PSO) is among the most popular method. To our best …
Cooperative control of multi-robot system using mobile agent for multiple source localization
N Ishiwatari, Y Sumikawa, M Takimoto… - Advances in Swarm …, 2017 - Springer
In this paper, we propose a new approach for multiple source localization tasks of multiple
robots. Our approach controls robots by mobile agents that behave based on particle swarm …
robots. Our approach controls robots by mobile agents that behave based on particle swarm …
Comparing swarm algorithms for multi-source localization
K McGill, S Taylor - 2009 IEEE international workshop on safety …, 2009 - ieeexplore.ieee.org
This paper proposes a common set of validation benchmarks and a reference algorithm that
provide ground-truth for comparative analysis of swarming algorithms for multi-source …
provide ground-truth for comparative analysis of swarming algorithms for multi-source …
Comparing swarm algorithms for large scale multi-source localization
K McGill, S Taylor - 2009 IEEE International Conference on …, 2009 - ieeexplore.ieee.org
We propose a common set of validation benchmarks and a reference algorithm that provide
ground-truth for comparative analysis of multi-source robot localization algorithms for large …
ground-truth for comparative analysis of multi-source robot localization algorithms for large …
Swarm optimization techniques for multi-agent source localization
R Zou, V Kalivarapu, J Oliver… - 2014 IEEE/ASME …, 2014 - ieeexplore.ieee.org
In this paper, we address the problem of seeking a source that emits signal described by a
function that is radially symmetric, and decays with increasing distance. Electromagnetic …
function that is radially symmetric, and decays with increasing distance. Electromagnetic …
Particle swarm optimization-based source seeking
The task of locating a source based on the measurements of the signal emitted/emanating
from it is called the source-seeking problem. In the past few years, there has been a lot of …
from it is called the source-seeking problem. In the past few years, there has been a lot of …
Using tabu search to avoid concave obstacles for source location
Recently, using a particle swarm optimizer (PSO) to guide robots in a source location
problem has attracted widespread interest. While being navigated by PSO, robots are easily …
problem has attracted widespread interest. While being navigated by PSO, robots are easily …