[HTML][HTML] Emperor penguin optimizer: A comprehensive review based on state-of-the-art meta-heuristic algorithms
Meta heuristics is an optimization approach that works as an intelligent technique to solve
optimization problems. Evolutionary algorithms, human-based algorithms, physics-based …
optimization problems. Evolutionary algorithms, human-based algorithms, physics-based …
Coverage, deployment and localization challenges in wireless sensor networks based on artificial intelligence techniques: a review
The growing importance and widespread adoption of Wireless Sensor Network (WSN)
technologies have helped the enhancement of smart environments in various fields such as …
technologies have helped the enhancement of smart environments in various fields such as …
Energy-efficient coverage optimization in wireless sensor networks based on Voronoi-Glowworm Swarm Optimization-K-means algorithm
A Chowdhury, D De - Ad Hoc Networks, 2021 - Elsevier
Deployment of sensor nodes is one of the crucial factors in mobile wireless sensor networks
for improving the performance of the network. The network's lifetime primarily depends on …
for improving the performance of the network. The network's lifetime primarily depends on …
Energy efficient clustering protocol based on K‐means (EECPK‐means)‐midpoint algorithm for enhanced network lifetime in wireless sensor network
Wireless sensor networks (WSNs) consist of an enormous number of tiny sensor nodes
deployed in huge numbers which are able to sense, process and transmit environmental …
deployed in huge numbers which are able to sense, process and transmit environmental …
RGSO-UAV: Reverse Glowworm Swarm Optimization inspired UAV path-planning in a 3D dynamic environment
A Chowdhury, D De - Ad Hoc Networks, 2023 - Elsevier
Three-dimensional path planning for UAVs is a very complex, NP-hard optimization
problem. It is an effort to resolve the best feasible trajectory between the source and the …
problem. It is an effort to resolve the best feasible trajectory between the source and the …
A review of computational intelligence techniques in wireless sensor and actuator networks
Wireless sensor and actuator networks (WSANs) are heterogeneous networks composed of
many different nodes that can cooperatively sense the environment, determine an …
many different nodes that can cooperatively sense the environment, determine an …
A hybrid algorithm combining glowworm swarm optimization and complete 2-opt algorithm for spherical travelling salesman problems
X Chen, Y Zhou, Z Tang, Q Luo - Applied Soft Computing, 2017 - Elsevier
Abstract The Travelling Salesman Problem (TSP) is one of the most well-known
combinatorial optimization problems and has attracted a lot of interests from researchers …
combinatorial optimization problems and has attracted a lot of interests from researchers …
[HTML][HTML] 群智能算法优化支持向量机参数综述
李素， 袁志高， 王聪， 陈天恩， 郭兆春 - 智能系统学报, 2018 - html.rhhz.net
李素, 袁志高, 王聪, 等. 群智能算法优化支持向量机参数综述[J]. 智能系统学报, 2018, 13 (1): 70-
84. DOI: 10.11992/tis. 201707011.LI Su, YUAN Zhigao, WANG Cong, et al. Optimization of …
84. DOI: 10.11992/tis. 201707011.LI Su, YUAN Zhigao, WANG Cong, et al. Optimization of …
ArduSim: Accurate and real-time multicopter simulation
As the popularity and the number of Unmanned Aerial Vehicles (UAVs) increases, new
protocols are needed to coordinate UAVs when flying autonomously, and to avoid that these …
protocols are needed to coordinate UAVs when flying autonomously, and to avoid that these …
Classical and bio-inspired mobility in sensor networks for IoT applications
With the emergence of Internet of Things (IoT) technology, a huge number of sensor based
applications are going to be deployed. Thus, due to their valuable contribution, these …
applications are going to be deployed. Thus, due to their valuable contribution, these …