A survey on parallel particle swarm optimization algorithms
Most of the complex research problems can be formulated as optimization problems.
Emergence of big data technologies have also commenced the generation of complex …
Emergence of big data technologies have also commenced the generation of complex …
A survey on GPU-based implementation of swarm intelligence algorithms
Inspired by the collective behavior of natural swarm, swarm intelligence algorithms (SIAs)
have been developed and widely used for solving optimization problems. When applied to …
have been developed and widely used for solving optimization problems. When applied to …
A survey on evolutionary computation for computer vision and image analysis: Past, present, and future trends
Computer vision (CV) is a big and important field in artificial intelligence covering a wide
range of applications. Image analysis is a major task in CV aiming to extract, analyze and …
range of applications. Image analysis is a major task in CV aiming to extract, analyze and …
[图书][B] Background modeling and foreground detection for video surveillance
Background modeling and foreground detection are important steps in video processing
used to detect robustly moving objects in challenging environments. This requires effective …
used to detect robustly moving objects in challenging environments. This requires effective …
Evaluation of parallel particle swarm optimization algorithms within the CUDA™ architecture
Particle swarm optimization (PSO), like other population-based meta-heuristics, is
intrinsically parallel and can be effectively implemented on Graphics Processing Units …
intrinsically parallel and can be effectively implemented on Graphics Processing Units …
Graphics processing units and genetic programming: an overview
WB Langdon - Soft computing, 2011 - Springer
A top end graphics card (GPU) plus a suitable SIMD interpreter can deliver a several
hundred fold speed up, yet cost less than the computer holding it. We give highlights of AI …
hundred fold speed up, yet cost less than the computer holding it. We give highlights of AI …
Turbulent-PSO-based fuzzy image filter with no-reference measures for high-density impulse noise
HH Chou, LY Hsu, HT Hu - IEEE transactions on cybernetics, 2012 - ieeexplore.ieee.org
Digital images are often corrupted by impulsive noise during data acquisition, transmission,
and processing. This paper presents a turbulent particle swarm optimization (PSO)(TPSO) …
and processing. This paper presents a turbulent particle swarm optimization (PSO)(TPSO) …
Run-time scheduling framework for event-driven applications on a GPU-based embedded system
H Lee, MA Al Faruque - … Aided Design of Integrated Circuits and …, 2016 - ieeexplore.ieee.org
Graphics processing units (GPUs) have been employed in the critical path of applications in
embedded systems due to the GPUs' programmability, high-performance, and low power …
embedded systems due to the GPUs' programmability, high-performance, and low power …
Markerless articulated human body tracking from multi-view video with GPU-PSO
In this paper, we describe the GPU implementation of a markerless full-body articulated
human motion tracking system from multi-view video sequences acquired in a studio …
human motion tracking system from multi-view video sequences acquired in a studio …
Comparison between two FPGA implementations of the particle swarm optimization algorithm for high-performance embedded applications
Particle Swarm Optimization (PSO) algorithms have been proposed to solve engineering
problems that require to find an optimal point of operation. There are several embedded …
problems that require to find an optimal point of operation. There are several embedded …