Optimization of control parameters for genetic algorithms
IEEE Transactions on Systems, Man and Cybernetics
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Efficient and Accurate Parallel Genetic Algorithms
Efficient and Accurate Parallel Genetic Algorithms
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
A Survey of Optimization by Building and Using Probabilistic Models
Computational Optimization and Applications
From Recombination of Genes to the Estimation of Distributions I. Binary Parameters
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Island Model genetic Algorithms and Linearly Separable Problems
Selected Papers from AISB Workshop on Evolutionary Computing
Introduction to the cell multiprocessor
IBM Journal of Research and Development - POWER5 and packaging
Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms (Studies in Fuzziness and Soft Computing)
Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence)
Dynamic multigrain parallelization on the cell broadband engine
Proceedings of the 12th ACM SIGPLAN symposium on Principles and practice of parallel programming
Evolutionary Computing on Consumer Graphics Hardware
IEEE Intelligent Systems
The equation for response to selection and its use for prediction
Evolutionary Computation
Parallel multi-objective evolutionary algorithms on graphics processing units
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Parallel DNA sequence alignment on the cell broadband engine
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
Porting Estimation of Distribution Algorithms to the Cell Broadband Engine
Parallel Computing
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Current consumer-grade computers and game devices incorporate very powerful processors that can be used to accelerate many classes of scientific codes. However, programming multi-core chips, hybrid multi-processors or graphical processing units is not an easy task for those programmers that deal mainly with sequential codes. In this paper, we explore the ability of the Cell Broadband Engine to run a particular Estimation of Distribution Algorithm. From an initial sequential version, we develop a multi-threaded one that is afterwards reworked to run on a Cell. The multi-threaded version is capable of efficiently use current multi-core chips, such as those used in desktop PCs. However, the efficiency of the Cell version is very low. We analyze the causes of these discouraging results, and provide some clues about the class of problems that could be efficiently ported to the Cell.