Parallel metaheuristics: recent advances and new trends
The field of parallel metaheuristics is continuously evolving as a result of new technologies
and needs that researchers have been encountering. In the last decade, new models of …
and needs that researchers have been encountering. In the last decade, new models of …
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 parallel ant colony optimization
Ant colony optimization (ACO) is a well-known swarm intelligence method, inspired in the
social behavior of ant colonies for solving optimization problems. When facing large and …
social behavior of ant colonies for solving optimization problems. When facing large and …
[HTML][HTML] Parallel ant colony optimization on multi-core SIMD CPUs
Y Zhou, F He, N Hou, Y Qiu - Future Generation Computer Systems, 2018 - Elsevier
Ant colony optimization (ACO) is a population-based metaheuristic for solving hard
combinatorial optimization problems. Many studies are dedicated to accelerating ACO by …
combinatorial optimization problems. Many studies are dedicated to accelerating ACO by …
Dynamic strategy based parallel ant colony optimization on GPUs for TSPs
Y Zhou, F He, Y Qiu - Science China Information Sciences, 2017 - Springer
Metaheuristics are a type of approximate optimization algorithms for solving hard and
complex problems in science and engineering [1]. They can be defined as algorithm …
complex problems in science and engineering [1]. They can be defined as algorithm …
Parallel ant colony optimization on graphics processing units
A Delévacq, P Delisle, M Gravel, M Krajecki - Journal of Parallel and …, 2013 - Elsevier
The purpose of this paper is to propose effective parallelization strategies for the Ant Colony
Optimization (ACO) metaheuristic on Graphics Processing Units (GPUs). The Max–Min Ant …
Optimization (ACO) metaheuristic on Graphics Processing Units (GPUs). The Max–Min Ant …
Enhancing data parallelism for ant colony optimization on GPUs
Graphics Processing Units (GPUs) have evolved into highly parallel and fully programmable
architecture over the past five years, and the advent of CUDA has facilitated their application …
architecture over the past five years, and the advent of CUDA has facilitated their application …
Improving Ant Colony Optimization performance on the GPU using CUDA
We solve the Travelling Salesman Problem (TSP) using a parallel implementation of the Ant
System (AS) algorithm for execution on the Graphics Processing Unit (GPU) using NVIDIA …
System (AS) algorithm for execution on the Graphics Processing Unit (GPU) using NVIDIA …
[HTML][HTML] Ant colony optimization: A bibliometric review
C Blum - Physics of Life Reviews, 2024 - Elsevier
This paper is a follow-up of one of the most-cited articles published in the first 20 years of the
existence of Physics of Life Reviews. The specific topic is “ant colony optimization”, which is …
existence of Physics of Life Reviews. The specific topic is “ant colony optimization”, which is …
Implementing a GPU-based parallel MAX–MIN Ant System
R Skinderowicz - Future Generation Computer Systems, 2020 - Elsevier
Abstract The MAX–MIN Ant System (MMAS) is one of the best-known Ant Colony
Optimization (ACO) algorithms proven to be efficient at finding satisfactory solutions to many …
Optimization (ACO) algorithms proven to be efficient at finding satisfactory solutions to many …