Results 1 to 10 of about 22,817 (117)
This paper proposed a novel hybrid optimization algorithm, particle swarm optimization-artificial bee colony (PSO-ABC), based on the PSO and ABC algorithms.
Zidong Han, Yufeng Li, Junyu Liang
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Optimizing multi-objective task scheduling in fog computing with GA-PSO algorithm for big data application [PDF]
As the volume and velocity of Big Data continue to grow, traditional cloud computing approaches struggle to meet the demands of real-time processing and low latency.
Muhammad Saad +3 more
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GA-PSO Algorithm for Microseismic Source Location
Accurate source location is a critical component of microseismic monitoring and early warning systems. To improve the accuracy of microseismic source location, this manuscript proposes a GA-PSO algorithm that combines the Genetic Algorithm (GA) with ...
Yaning Han +3 more
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http://computeroptics.smr.ru/KO/PDF/KO44-1/440117.pdf [PDF]
This paper briefly introduces the optimal threshold calculation model and particle swarm optimization (PSO) algorithm for image segmentation and improves the PSO algorithm.
Yanxia Cai +3 more
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Rail Consignment Path Planning Based on Multimodal Transport: Considering the Time Uncertainty Condition [PDF]
Multimodal transport has emerged and applied to logistics work as single-mode transport was unable to meet the growing demand for logistics. Due to the difference in cost and time consumption between different modes of transportation, the path planning ...
Haolin Tong
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Parameter optimization of unmanned surface vessel propulsion motor based on BAS-PSO
Despite advances in modern control theory and artificial intelligence technology, current methods for tuning proportional-integral-derivative (PID) controller parameters based on the traditional particle swarm optimization (PSO) algorithm do not meet the
Li Bian +4 more
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Application of Improved Particle Swarm Optimisation Algorithm in Hull form Optimisation
The particle swarm optimisation (PSO) algorithm has been widely used in hull form optimisation owing to its feasibility and fast convergence. However, similar to other intelligent algorithms, PSO also has the disadvantages of local premature convergence ...
Qiang Zheng +3 more
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An algorithm with different parameter settings often performs differently on the same problem. The parameter settings are difficult to determine before the optimization process.
Jing Li, Yifei Sun, Sicheng Hou
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A Novel TSA-PSO Based Hybrid Algorithm for GMPP Tracking under Partial Shading Conditions
In this paper, a new hybrid TSA-PSO algorithm is proposed that combines tunicate swarm algorithm (TSA) with the particle swarm optimization (PSO) technique for efficient maximum power extraction from a photovoltaic (PV) system subjected to partial ...
Abhishek Sharma +5 more
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An Enhanced Swap Sequence-Based Particle Swarm Optimization Algorithm to Solve TSP
The Traveling Salesman Problem (TSP) is a combinatorial optimization problem that is useful in a number of applications. Since there is no known polynomial-time algorithm for solving large scale TSP, metaheuristic algorithms such as Ant Colony ...
Bibi Aamirah Shafaa Emambocus +4 more
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