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Cluster analysis is important in scientific and industrial fields. In this study, we proposed a novel chaotic biogeography-based optimization (CBBO) method, and applied it in centroid-based clustering methods. The results over three types of simulation data showed that this proposed CBBO method gave better performance than chaotic particle swarm optimization, genetic algorithm, firefly algorithm,...
Aiming at the problem of heterogeneous multi-UAVs' cooperative task assignment when accomplishing attack and damage evaluation tasks. We put forward a hybrid algorithm GSA-GA (Gravitation Search Algorithm — Genetic Algorithm), which is a combination of the gravitation search algorithm and genetic algorithm. In this hybrid algorithm, a new code and decode scheme for the GSA particles are given. We...
Association rules is an important data analysis and mining method, and the FP-Growth and the traditional FP-Tree algorithm is used in the full confidence of rules. This paper proposes a incremental queue algorithm models based on association rules, which is the improved FP4W-Growth algorithm. It is proposed and applied to the calculation the association text by the correlation of incremental queue...
Considering the slow convergence problem of conventional interval particle swarm optimization algorithm based on static shrinking strategy (SIPSO), this paper proposes a new dynamic shrinking strategy to form a new interval particle swam optimization algorithm (DIPSO) to improve the SIPSO, which can make the interval shrinking more flexible and be conducive to the quick convergence. The simulation...
By combining the strong global searching ability of particle swarm optimization algorithm with the fast local convergence of genetic algorithm, a new hybrid multi-objective particle swarm optimization algorithm based on genetic algorithm is proposed in this paper. The geometry of HTV-2 is parameterized in terms of conic control points and shape parameters. And the aerodynamic configuration is optimized...
This paper presents a Quantization Parameter (QP) refinement algorithm used in Rate-Distortion Optimization (RDO) process to improve the coding efficiency for High Efficiency Video Coding (HEVC). To minimize the RD cost, QP is one of the parameters that can be optimized. Usually, multiple-QP optimization can be applied to choose the best QP value. However, this kind of optimization increases the encoding...
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