Distributed evolutionary algorithms and their models: A survey of the state-of-the-art
The increasing complexity of real-world optimization problems raises new challenges to
evolutionary computation. Responding to these challenges, distributed evolutionary …
evolutionary computation. Responding to these challenges, distributed evolutionary …
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 …
Multi-GPU approach to global induction of classification trees for large-scale data mining
This paper concerns the evolutionary induction of decision trees (DT) for large-scale data.
Such a global approach is one of the alternatives to the top-down inducers. It searches for …
Such a global approach is one of the alternatives to the top-down inducers. It searches for …
Solving very large instances of the scheduling of independent tasks problem on the GPU
In this paper, we present two new parallel algorithms to solve large instances of the
scheduling of independent tasks problem. First, we describe a parallel version of the Min …
scheduling of independent tasks problem. First, we describe a parallel version of the Min …
Evolutionary induction of a decision tree for large-scale data: a GPU-based approach
Evolutionary induction of decision trees is an emerging alternative to greedy top-down
approaches. Its growing popularity results from good prediction performance and less …
approaches. Its growing popularity results from good prediction performance and less …
GPU-based acceleration of evolutionary induction of model trees
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 …
they are applied to data mining, the fitness calculations start to dominate and the typical …
Recent advances on GPU computing in operations research
In the last decade, Graphics Processing Units (GPUs) have gained an increasing popularity
as accelerators for High Performance Computing (HPC) applications. Recent GPUs are not …
as accelerators for High Performance Computing (HPC) applications. Recent GPUs are not …
Large-scale bioinformatics data mining with parallel genetic programming on graphics processing units
WB Langdon - Massively parallel evolutionary computation on …, 2013 - Springer
Abstract The NCBI GEO GSE3494 breast cancer dataset contains hundreds of Affymetrix HG-
U133A and HG-U133B GeneChip biopsies each with a million variables. Multiple genetic …
U133A and HG-U133B GeneChip biopsies each with a million variables. Multiple genetic …
ACO with tabu search on a GPU for solving QAPs using move-cost adjusted thread assignment
S Tsutsui, N Fujimoto - Proceedings of the 13th annual conference on …, 2011 - dl.acm.org
This paper proposes a parallel ant colony optimization (ACO) for solving quadratic
assignment problems (QAPs) on a graphics processing unit (GPU) by combining tabu (TS) …
assignment problems (QAPs) on a graphics processing unit (GPU) by combining tabu (TS) …
Bitwise operations for GPU implementation of genetic algorithms
Research on the implementation of evolutionary algorithms in graphics processing units
(GPUs) has grown in recent years since it significantly reduces the execution time of the …
(GPUs) has grown in recent years since it significantly reduces the execution time of the …