AG Gad - Archives of computational methods in engineering, 2022 - Springer
… social swarms in nature. One of the most popular SI paradigms, the ParticleSwarmOptimization algorithm (… of various parameters and aspects of the algorithm. Various perspectives are …
EH Houssein, AG Gad, K Hussain… - Swarm and Evolutionary …, 2021 - Elsevier
… a summary of the great efforts that have added impetus and new directions to research in particleswarms, … The strength of this study lies in its presentation of comprehensive challenges …
J Nayak, H Swapnarekha, B Naik, G Dhiman… - … Methods in Engineering, 2023 - Springer
… Several SI algorithms have been designed based on the … colonyoptimization, particle swarmoptimization, cuckoo search, bat algorithm, firefly algorithm, bee’s algorithm, monkey-based…
S Loganathan, J Arumugam - Wireless Personal Communications, 2021 - Springer
… The proposed energy efficient particleswarmoptimizationbasedclusteringalgorithm was simulated using the mat lab. The simulation parameters used in the algorithm is described in …
P Rawat, S Chauhan - Neural Computing and applications, 2021 - Springer
… , a particleswarmoptimization-based energy efficient clustering … particleswarmoptimization technique to select the cluster … The cluster head is selected by employing the particleswarm …
… This paper aims to deliver a comprehensive and timely review of the PSO algorithms and their applications. An up-to-date review of some PSO variants is also introduced. In this paper, …
… The ParticleSwarmOptimisation (PSO) algorithm was inspired by the social and biological … In this nature-basedalgorithm, individuals are referred to as particles and fly through the …
… , a clustering protocol based on the fuzzy logic model and particleswarmoptimization (PSO… is named as fuzzy logic and PSO-based energy efficient clustering (FLPSOC). The proposed …
Y Liu, J Liu, Y Jin, F Li, T Zheng - Knowledge-Based Systems, 2020 - Elsevier
… , a novel multipopulation algorithmbased on the affinity propagation clustering is proposed to address the above challenges. In the proposed method, affinity propagation clustering is …