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» Evolutionary multiobjective optimization
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HEURISTICS
2002
99views more  HEURISTICS 2002»
15 years 1 months ago
Parallelizing Tabu Search on a Cluster of Heterogeneous Workstations
In this paper, we present the parallelization of tabu search on a network of workstations using PVM. Two parallelization strategies are integrated: functional decomposition strate...
Ahmad A. Al-Yamani, Sadiq M. Sait, Habib Youssef, ...
115
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ER
2010
Springer
121views Database» more  ER 2010»
15 years 4 days ago
Reasoning with Optional and Preferred Requirements
Abstract. Of particular concern in requirements engineering is the selection of requirements to implement in the next release of a system. To that end, there has been recent work o...
Neil A. Ernst, John Mylopoulos, Alexander Borgida,...
PPSN
2010
Springer
14 years 11 months ago
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
Alan P. Reynolds, David W. Corne, Michael J. Chant...
136
Voted
ICC
2009
IEEE
151views Communications» more  ICC 2009»
14 years 11 months ago
Performance Evaluation of Multiple-Relay Cooperative ARQ Strategies for Mobile Networks
In Cooperative Automatic Repeat reQuest (C-ARQ) protocols, one or more nodes can act as relays, collaborating in the frame retransmission process between a sender and a destination...
Juan J. Alcaraz, Joan García-Haro
EOR
2007
100views more  EOR 2007»
15 years 1 months ago
Parallel radial basis function methods for the global optimization of expensive functions
We introduce a master–worker framework for parallel global optimization of computationally expensive functions using response surface models. In particular, we parallelize two r...
Rommel G. Regis, Christine A. Shoemaker