… to developing adequate parallel metaheuristics for different types of parallel architectures (…
for parallel metaheuristics on SIMD architectures. The first works on metaheuristic algorithms …

… underlying parallel programming model of GPU is necessary to design a parallel application
(in our case metaheuristics… This section reviews GPU-accelerated metaheuristics for solving …

… Experiments confirm the solutions obtained by our parallel hybrid approach are very near
to the global optimal values obtained by B&B, but our metaheuristic approach finds the …

… metaheuristics on GPU for solving large-scale complex problems with a view to high effectiveness
and efficiency. Metaheuristics … , ie, local search metaheuristics. This class of algorithms …

… parallel nature-inspired meta-heuristics on GPUs and utilize full power of the devices. Different
parallel … The GPU-accelerated meta-heuristics are aiming on solving optimization tasks in …

… parallel versions of these algorithms using a more efficient parallelization strategy. In particular,
a novel GPU-accelerated … focusing on parallel and distributed metaheuristic algorithms …

… We focus in this section on local search meta heuristics that use genetic algorithms. … In
this work we present a GPU accelerated parallel heuristics for TSP that integrates a genetic …

… Different metaheuristic optimization algorithms were … briefly discussed along with the GPU
accelerated variant of the later … main type of parallelism in ACO algorithms is the parallel ant …

… Sun, “GPU-accelerated real-time tracking of full-body motion with multi-layer search,” IEEE
… Liu, “GPU-accelerated parallel coevolutionary algorithm for parameters identification and …

… Although metaheuristics are used for … a metaheuristic may take a considerable amount of
time. Therefore, we utilize a highly parallel metaheuristic to run on a modern massively parallel …