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 image segmentation using metaheuristic-based deformable models: state of the art and critical analysis
Deformable models are segmentation techniques that adapt a curve with the goal of
maximizing its overlap with the actual contour of an object of interest within an image. Such …
maximizing its overlap with the actual contour of an object of interest within an image. Such …
Lights and shadows in evolutionary deep learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges
Much has been said about the fusion of bio-inspired optimization algorithms and Deep
Learning models for several purposes: from the discovery of network topologies and …
Learning models for several purposes: from the discovery of network topologies and …
Nature-inspired meta-heuristics on modern GPUs: state of the art and brief survey of selected algorithms
Graphic processing units (GPUs) emerged recently as an exciting new hardware
environment for a truly parallel implementation and execution of Nature and Bio-inspired …
environment for a truly parallel implementation and execution of Nature and Bio-inspired …
A parallel local search in CPU/GPU for scheduling independent tasks on large heterogeneous computing systems
This article presents the parallel implementation on CPU/GPU of two variants of a stochastic
local search method to efficiently solve the scheduling problem in heterogeneous computing …
local search method to efficiently solve the scheduling problem in heterogeneous computing …
Two-level parallel CPU/GPU-based genetic algorithm for association rule mining
Genetic algorithms (GA) are widely used in the literature to extract interesting association
rules. However, they are time consuming mainly due to the growing size of databases. To …
rules. However, they are time consuming mainly due to the growing size of databases. To …
Coupling control of pore size and spatial distribution in bone scaffolds based on a random strategy for additive manufacturing
Purpose The three-dimensional porous scaffold is an important concept in tissue
engineering and helps to restore or regenerate a damaged tissue. Additive manufacturing …
engineering and helps to restore or regenerate a damaged tissue. Additive manufacturing …
The design and implementation of a GPU-enabled multi-objective tabu-search intended for real world and high-dimensional applications
C Tsotskas, T Kipouros, AM Savill - Procedia Computer Science, 2014 - Elsevier
Metaheuristics is a class of approximate methods based on heuristics that can effectively
handle real world (usually NP-hard) problems of high-dimensionality with multiple …
handle real world (usually NP-hard) problems of high-dimensionality with multiple …
Real-time GPU based road sign detection and classification
R Ugolotti, YSG Nashed, S Cagnoni - … Solving from Nature-PPSN XII: 12th …, 2012 - Springer
This paper presents a system for detecting and classifying road signs from video sequences
in real time. A model-based approach is used in which a prototype of the sign to be detected …
in real time. A model-based approach is used in which a prototype of the sign to be detected …
A brief survey of advances in particle swarm optimization on graphic processing units
In the last few years, the Graphic Processing Units (GPUs) emerged as an exciting new
hardware environment available for a truly parallel implementation and execution of Nature …
hardware environment available for a truly parallel implementation and execution of Nature …