A comprehensive survey on gravitational search algorithm

E Rashedi, E Rashedi, H Nezamabadi-Pour - Swarm and evolutionary …, 2018 - Elsevier
Abstract Gravitational Search Algorithm (GSA) is an optimization method inspired by the
theory of Newtonian gravity in physics. Till now, many variants of GSA have been …

Distributed and collaborative beamforming in wireless sensor networks: Classifications, trends, and research directions

S Jayaprakasam, SKA Rahim… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Distributed and collaborative beamforming (DCBF) scheme in wireless sensor networks
(WSNs) is receiving newfound interest in recent times due to the rapid advancements in …

Multi-objective load dispatch for microgrid with electric vehicles using modified gravitational search and particle swarm optimization algorithm

X Zhang, Z Wang, Z Lu - Applied Energy, 2022 - Elsevier
With the increasing proportion of electric vehicles in the automobile market, the negative
impact of vehicle's charging on the power system is gradually increasing. The charging …

Secure and energy-efficient UAV relay communications exploiting collaborative beamforming

G Sun, J Li, A Wang, Q Wu, Z Sun… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) is a promising communication platform to assist terrestrial
networks. In this work, we aim to provide relay communication to the blocked or low-quality …

[HTML][HTML] A hybridized model based on neural network and swarm intelligence-grey wolf algorithm for spatial prediction of urban flood-inundation

H Darabi, AT Haghighi, O Rahmati, AJ Shahrood… - Journal of …, 2021 - Elsevier
In regions with lack of hydrological and hydraulic data, a spatial flood modeling and
mapping is an opportunity for the urban authorities to predict the spatial distribution and the …

A new reinforcement learning-based memetic particle swarm optimizer

H Samma, CP Lim, JM Saleh - Applied Soft Computing, 2016 - Elsevier
Developing an effective memetic algorithm that integrates the Particle Swarm Optimization
(PSO) algorithm and a local search method is a difficult task. The challenging issues include …

[PDF][PDF] Collision-free autonomous robot navigation in unknown environments utilizing PSO for path planning

E Krell, A Sheta, APR Balasubramanian… - Journal of Artificial …, 2019 - sciendo.com
The autonomous navigation of robots in unknown environments is a challenge since it
needs the integration of a several subsystems to implement different functionality. It needs …

Sidelobe reductions of antenna arrays via an improved chicken swarm optimization approach

S Liang, Z Fang, G Sun, Y Liu, G Qu, Y Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
Antenna arrays are able to improve the directivity performance and reduce the cost of
wireless communication systems. However, how to reduce the maximum sidelobe level …

Parameter tuning for meta-heuristics

SK Joshi, JC Bansal - Knowledge-Based Systems, 2020 - Elsevier
These days meta-heuristic algorithms are gaining lot of popularity. The performance of the
meta-heuristics depends upon the suitable selection of user dependent parameters. Finding …

Energy efficient collaborative beamforming for reducing sidelobe in wireless sensor networks

G Sun, Y Liu, Z Chen, A Wang, Y Zhang… - ieee transactions on …, 2019 - ieeexplore.ieee.org
Collaborative beamforming (CB) in wireless sensor networks (WSNs) based on a virtual
node antenna array (VNAA) can increase the transmission distance and enhance the …