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CEC
2008
IEEE
16 years 28 days ago
A parallel surrogate-assisted multi-objective evolutionary algorithm for computationally expensive optimization problems
Abstract— This paper presents a new efficient multiobjective evolutionary algorithm for solving computationallyintensive optimization problems. To support a high degree of parall...
Anna Syberfeldt, Henrik Grimm, Amos Ng, Robert Ivo...
PC
2000
160views Management» more  PC 2000»
15 years 6 months ago
Parallel algorithms to solve two-stage stochastic linear programs with robustness constraints
In this paper we present a parallel method for solving two-stage stochastic linear programs with restricted recourse. The mathematical model considered here can be used to represe...
Patrizia Beraldi, Lucio Grandinetti, Roberto Musma...
CLUSTER
2009
IEEE
15 years 11 months ago
Numerically stable, single-pass, parallel statistics algorithms
—Statistical analysis is widely used for countless scientific applications in order to analyze and infer meaning from data. A key challenge of any statistical analysis package a...
Janine Bennett, R. Grout, Philippe P. Pébay...
ISHPC
2003
Springer
15 years 11 months ago
Evaluating Heuristic Scheduling Algorithms for High Performance Parallel Processing
Most cluster systems used in high performance computing do not allow process relocation at run-time. Finding an allocation that results in minimal completion time is NP-hard and (n...
Lars Lundberg, Magnus Broberg, Kamilla Klonowska
AE
2003
Springer
15 years 10 months ago
ParaDisEO-Based Design of Parallel and Distributed Evolutionary Algorithms
ParaDisEO is a framework dedicated to the design of parallel and distributed metaheuristics including local search methods and evolutionary algorithms. This paper focuses on the la...
Sébastien Cahon, Nordine Melab, El-Ghazali ...