In the past decade, Graphics Processing Units have played an important role in the field of
high-performance computing and they still advance new fields such as IoT, autonomous …

Abstract Ant Colony Optimization (ACO) is a family of nature-inspired metaheuristics often
applied to finding approximate solutions to difficult optimization problems. Despite being …

Swarm Intelligence (SI) algorithms are frequently applied to tackle complex optimization
problems. SI is especially used when good solutions are requested for NP hard problems …

Marine resources are vital to the development of a country. Marine investigation can obtain
more marine resources and acquire more marine environmental information. A common …

Particle swarm optimization (PSO) has been successfully applied to the sparse
reconstruction problem and achieved good results. With the dimension of the problem …

Combinatorial optimization problems arise in many disciplines, both in the basic sciences
and in applied fields such as engineering and economics. One of the most popular …

Ant Colony algorithm has been applied to various optimisation problems, however, most of
the previous work on scaling and parallelism focuses on Travelling Salesman Problems …

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 …

In this paper, we show how to use the GPU to parallelize a precise instruction scheduling
algorithm that is based on Ant Colony Optimization (ACO). ACO is a nature-inspired …

Evolutionary algorithms (EAs) are naturally prone to parallel processing. However, when
they are applied to data mining, the fitness calculations start to dominate and the typical …