Optimization of the occlusion strategy in visual tracking

Wen, Jinghuan; Ma, Huimin; Zhang, Xiaoqin

doi:10.1109/tst.2016.7442504

Cited by 27 publications

(12 citation statements)

References 11 publications

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“…It is inspired by the flight behavior as well as the reproduction process of mayflies. It can be referred to as a hybrid of PSO [46], GA [47], and FA [43], for it combines the major advantages of these three algorithms.…”

Section: The Mayfly Algorithm (Ma)mentioning

confidence: 99%

Pattern Synthesis of Uniform and Sparse Linear Antenna Array Using Mayfly Algorithm

et al. 2021

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Pattern synthesis is a significant research focus in smart antennas due to its extensive use in several radar and communication systems. To improve the optimization performance of pattern synthesis of uniform and sparse linear antenna array, this paper presents an optimization method for solving the antenna array synthesis problem using the Mayfly Algorithm (MA). MA is a new heuristic algorithm inspired by the flight behavior as well as the mating process of mayflies, it has a unique velocity update system with great convergence. In this work, the MA was applied to linear antenna arrays (LAA) for optimal pattern synthesis in the following ways: by optimizing the antenna current amplitudes while maintaining uniform spacing and by optimizing the antenna positions while assuming a uniform excitation. Constraints of inter-element spacing and aperture length are imposed in the synthesis of sparse LAA. Sidelobe level (SLL) suppression with the placement of nulls in the specified directions is also implemented. The results gotten from this novel algorithm are validated by benchmarking with results obtained using other intelligent algorithms. In the synthesis of uniform 20-element LAA with nulls, MA achieved an SLL of -31.27 dB and the deepest null of -101.60 dB. Also, for sparse 20-element LAA, an SLL of -18.85 dB was attained alongside the deepest null of -87.37 dB. MA obtained an SLL of -35.73 dB and -23.68 dB for the synthesis of uniform and sparse 32-element LAA respectively. Finally, electromagnetism simulations are conducted using ANSYS Electromagnetics (HFSS) software, to evaluate the performance of MA for the beam pattern optimizations, taking into consideration the mutual coupling effects. The results prove that optimization of LAA using MA provides considerable enhancements in peak SLL suppression, null control, and convergence rate with respect to the uniform array and the synthesis obtained from other existing optimization techniques.

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Section: The Mayfly Algorithm (Ma)mentioning

confidence: 99%

Pattern Synthesis of Uniform and Sparse Linear Antenna Array Using Mayfly Algorithm

et al. 2021

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“…Particle Swarm Optimization (PSO) was initially credited to Kennedy, Eberhart, and Shi [59,60], and it was first planned for reenacting the social conduct of birds and fishes [61]. The calculation after improvement was noticed to perform streamlining.…”

Section: Metaheuristic Evolutionary Particle Swarm Optimization (Meepso)mentioning

confidence: 99%

Available Transfer Capability Enhancement by FACTS Devices Using Metaheuristic Evolutionary Particle Swarm Optimization (MEEPSO) Technique

Gupta

Jain

2021

Energies

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Energy power flows are an important factor to be calculated and, thus, are needed to be enhanced in an electrical generation system. It is very necessary to optimally locate the Flexible Alternating Current Transmission Systems (FACTS) devices and improve the Available Transfer Capability (ATC) of the power transmission lines. It relieves the congestion of the system and increases the flow of power. This research study has been accomplished in two stages: optimization of location of FACTS device by the novel Sensitivity and Power loss-based Congestion Reduction (SPCR) method and the calculation of ATC using the proposed Metaheuristic Evolutionary Particle Swarm Optimization (MEEPSO) technique. The Thyristor Controlled Series Capacitor (TCSC) is used as a FACTS device to control the reactance of power transmission line. The effectiveness of the proposed methods is validated, utilizing the six bus as well as 30 bus system. The acquired outcomes are contrasted with conventional ACPTDF and DCPTDF procedures. These values are determined with the assistance of MATLAB version 2017 on the Intel Core i5 framework by taking two-sided exchanges and they are contrasted and values determined with the assistance of Power World Simulator (PWS) programming.

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“…Speed-constrained Multi-objective particle swarm optimization (SMPSO) is an improved particle swarm optimization (PSO) characterized by the use of a strategy to limit the velocity of the particles. PSO is a bio-inspired evolutionary-based which imitating social behavior of bird flocking or fish schooling 38 . SMPSO use a strategy to put a constraint on particle velocity.…”

Section: Modelingmentioning

confidence: 99%

Design and bio-inspired optimization of direct contact membrane distillation for desalination based on constructal law

Keshavarzzadeh

2020

Sci Rep

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At the present study, a one-dimensional model for the flat sheet direct contact membrane distillation (DCMD) for desalination purposes is proposed. Flows and membrane properties have been estimated by appropriate temperature-dependent correlations. Results show that the numerical model is in a very good agreement with experimental data at various feed temperatures, flow rates and concentrations. A constructal design is investigated for DCMD to assess how constructal law can improve the DCMD performance. With the same thermal efficiency of 93.5%, constructal design improves the water mass flux by 37.5% in comparison with the conventional DCMD design. Also, an evolutionary-based optimization algorithm is employed to increase the efficiency of the constructal and conventional design. The Pareto frontier of the constructal and conventional design is compared with each other and the correlations between design variables are investigated. Overall, the present study demonstrates how constructal law can increase the performance of energy systems with a simple modification.

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Optimization of the occlusion strategy in visual tracking

Cited by 27 publications

References 11 publications

Pattern Synthesis of Uniform and Sparse Linear Antenna Array Using Mayfly Algorithm

Pattern Synthesis of Uniform and Sparse Linear Antenna Array Using Mayfly Algorithm

Available Transfer Capability Enhancement by FACTS Devices Using Metaheuristic Evolutionary Particle Swarm Optimization (MEEPSO) Technique

Design and bio-inspired optimization of direct contact membrane distillation for desalination based on constructal law

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