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JAIR
2008
104views more  JAIR 2008»
14 years 9 months ago
M-DPOP: Faithful Distributed Implementation of Efficient Social Choice Problems
In the efficient social choice problem, the goal is to assign values, subject to side constraints, to a set of variables to maximize the total utility across a population of agent...
Adrian Petcu, Boi Faltings, David C. Parkes
70
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ALGORITHMICA
2006
77views more  ALGORITHMICA 2006»
14 years 9 months ago
Scalable Parallel Algorithms for FPT Problems
Algorithmic methods based on the theory of fixed-parameter tractability are combined with powerful computational platforms to launch systematic attacks on combinatorial problems o...
Faisal N. Abu-Khzam, Michael A. Langston, Pushkar ...
CEC
2008
IEEE
15 years 4 months 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...
CLOUDCOM
2010
Springer
14 years 7 months ago
Scaling Populations of a Genetic Algorithm for Job Shop Scheduling Problems Using MapReduce
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
Di-Wei Huang, Jimmy Lin
COLT
2008
Springer
14 years 11 months ago
Competing in the Dark: An Efficient Algorithm for Bandit Linear Optimization
We introduce an efficient algorithm for the problem of online linear optimization in the bandit setting which achieves the optimal O ( T) regret. The setting is a natural general...
Jacob Abernethy, Elad Hazan, Alexander Rakhlin