Results 31 to 40 of about 98,123 (253)
An improved quantum particle swarm photovoltaic multi‐peak mPPT method combined with Lévy flight
Inertial weight adaptive quantum particle swarm optimization (DCWQPSO) algorithm can effectively improve the problem of particle falling into local extreme value.
Lei Chen +3 more
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A Lévy Flight Based BAT Optimization Algorithm for Block-based Image Compression
Many metaheuristics have been adopted to solve the codebook generation problem in image processing. In this paper, the Bat algorithm is combined by the Lévy flight distribution to find out the global optimum codebook.
Ilker Kilic
doaj
An Improved Ant Colony Algorithm for Continuous Optimization Based on Levy Flight
Ant colony optimization (ACO) is proposed on the study of the foraging behavior of ants on the basis of the proposed and widely used in the optimization. However, it has some shortcoming such as longer time, hardly implement and local optimal etc.
H.Z. Wang, C.G. Liang
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This article addresses one quadruple-rudder allocation method for an autonomous underwater vehicle (AUV) equipped with X rudder, in which all of the rudders can be operated independently.
Yinghao Zhang +4 more
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Clustering Using Levy Flight Cuckoo Search [PDF]
In this paper, a comparative study is carried using three nature-inspired algorithms namely Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Cuckoo Search (CS) on clustering problem. Cuckoo search is used with levy flight. The heavy-tail property of levy flight is exploited here.
J. Senthilnath 0001 +3 more
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Scintillations and Levy Flights through the Interstellar Medium [PDF]
Temporal broadening of pulsar signals results from electron density fluctuations in the interstellar medium that cause the radiation to travel along paths of different lengths. The Gaussian theory of fluctuations predicts that the pulse temporal broadening should scale with the wavelength as lambda^4, and with the dispersion measure (corresponding to ...
Boldyrev, Stanislav, Gwinn, Carl
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Time-dependent probability density function for partial resetting dynamics
Stochastic resetting is a rapidly developing topic in the field of stochastic processes and their applications. It denotes the occasional reset of a diffusing particle to its starting point and effects, inter alia, optimal first-passage times to a target.
Costantino Di Bello +4 more
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Application of an Enhanced Whale Optimization Algorithm on Coverage Optimization of Sensor
The wireless sensor network (WSN) is an essential technology of the Internet of Things (IoT) but has the problem of low coverage due to the uneven distribution of sensor nodes.
Yong Xu, Baicheng Zhang, Yi Zhang
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Jumping to Conclusion? A Lévy Flight Model of Decision Making [PDF]
The diffusion model is one of the most prominent response time models in cognitive psychology. The model describes evidence accumulation as a stochastic process that runs between two boundaries until a threshold is hit, and a decision is made.
Wieschen, Eva Marie +2 more
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Heteroskedastic Levy Flights [PDF]
Truncated Lévy flights are random walks in which the arbitrarily large steps of a Lévy flight are eliminated. Since this makes the variance finite, the central limit theorem applies, and as time increases the probability distribution of the increments becomes Gaussian.
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