25 years of particle swarm optimization: Flourishing voyage of two decades
From the past few decades many nature inspired algorithms have been developed and
gaining more popularity because of their effectiveness in solving problems of distinct …
gaining more popularity because of their effectiveness in solving problems of distinct …
Multi-robot coordination analysis, taxonomy, challenges and future scope
Abstract Recently, Multi-Robot Systems (MRS) have attained considerable recognition
because of their efficiency and applicability in different types of real-life applications. This …
because of their efficiency and applicability in different types of real-life applications. This …
Comprehensive learning particle swarm optimization algorithm with local search for multimodal functions
A comprehensive learning particle swarm optimizer (CLPSO) embedded with local search
(LS) is proposed to pursue higher optimization performance by taking the advantages of …
(LS) is proposed to pursue higher optimization performance by taking the advantages of …
Balancing collective exploration and exploitation in multi-agent and multi-robot systems: A review
Multi-agent systems and multi-robot systems have been recognized as unique solutions to
complex dynamic tasks distributed in space. Their effectiveness in accomplishing these …
complex dynamic tasks distributed in space. Their effectiveness in accomplishing these …
Multi-agent distributed coordination control: Developments and directions via graph viewpoint
In this paper, the recent developments of distributed coordination control problems are
summarized in a graph-theory-based framework. Distributed coordination has attracted …
summarized in a graph-theory-based framework. Distributed coordination has attracted …
AERPSO—An adaptive exploration robotic PSO based cooperative algorithm for multiple target searching
Target searching with autonomous robots require an efficient target search method that
considers their constraints and environmental characteristics. Particle swarm optimization …
considers their constraints and environmental characteristics. Particle swarm optimization …
A GWO-based multi-robot cooperation method for target searching in unknown environments
H Tang, W Sun, A Lin, M Xue, X Zhang - Expert Systems with Applications, 2021 - Elsevier
To solve static and dynamic target searching problems involving multiple robots in unknown
environments, a novel adaptive robotic grey wolf optimizer (GWO) algorithm, named the …
environments, a novel adaptive robotic grey wolf optimizer (GWO) algorithm, named the …
Pollution source localization based on multi-UAV cooperative communication
Z Fu, Y Chen, Y Ding, D He - Ieee Access, 2019 - ieeexplore.ieee.org
Harmful gas leakage accidents in chemical plants have occurred from time to time. The
application of mobile robots to find odor source has become one of the hottest research …
application of mobile robots to find odor source has become one of the hottest research …
A new developed approach for the prediction of ground vibration using a hybrid PSO-optimized ANFIS-based model
A Shahnazar, H Nikafshan Rad… - Environmental earth …, 2017 - Springer
Ground vibration is one of the common environmental effects of blasting operation in mining
industry, and it may cause damage to the nearby structures and the surrounding residents …
industry, and it may cause damage to the nearby structures and the surrounding residents …
A multirobot target searching method based on bat algorithm in unknown environments
H Tang, W Sun, H Yu, A Lin, M Xue - Expert Systems with Applications, 2020 - Elsevier
Multirobot target searching in unknown environments is a currently trending topic of
discussion. In this paper, an improved bat algorithm (BA) for multirobot target searching in …
discussion. In this paper, an improved bat algorithm (BA) for multirobot target searching in …