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» Testing parallelization paradigms for MOEAs
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GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
13 years 12 months ago
Testing parallelization paradigms for MOEAs
In this paper, we report on our investigation of factors affecting the performance of various parallelization paradigms for multiobjective evolutionary algorithms. Different paral...
Sadeesha Gamhewa, Philip Hingston
EMO
2005
Springer
110views Optimization» more  EMO 2005»
14 years 4 months ago
Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms
Abstract. While Single-Objective Evolutionary Algorithms (EAs) parallelization schemes are both well established and easy to implement, this is not the case for Multi-Objective Evo...
Felix Streichert, Holger Ulmer, Andreas Zell
ESOP
2012
Springer
12 years 6 months ago
Generate, Test, and Aggregate - A Calculation-based Framework for Systematic Parallel Programming with MapReduce
Abstract. MapReduce, being inspired by the map and reduce primitives available in many functional languages, is the de facto standard for large scale data-intensive parallel progra...
Kento Emoto, Sebastian Fischer, Zhenjiang Hu
CCGRID
2003
IEEE
14 years 4 months ago
Distributed Computing with Hierarchical Master-worker Paradigm for Parallel Branch and Bound Algorithm
This paper discusses the impact of the hierarchical master-worker paradigm on performance of an application program, which solves an optimization problem by a parallel branch and ...
Kento Aida, Wataru Natsume, Yoshiaki Futakata
ISCAS
2003
IEEE
167views Hardware» more  ISCAS 2003»
14 years 4 months ago
The multi-level paradigm for distributed fault detection in networks with unreliable processors
In this paper, we study the effectiveness of the multilevel paradigm in considerably reducing the diagnosis latency of distributed algorithms for fault detection in networks with ...
Krishnaiyan Thulasiraman, Ming-Shan Su, V. Goel