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GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
14 years 28 days ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen
ATAL
2003
Springer
14 years 19 days ago
A principled study of the design tradeoffs for autonomous trading agents
In this paper we present a methodology for deciding the bidding strategy of agents participating in a significant number of simultaneous auctions, when finding an analytical sol...
Ioannis A. Vetsikas, Bart Selman
GECCO
2009
Springer
169views Optimization» more  GECCO 2009»
14 years 1 days ago
An ant based algorithm for task allocation in large-scale and dynamic multiagent scenarios
This paper addresses the problem of multiagent task allocation in extreme teams. An extreme team is composed by a large number of agents with overlapping functionality operating i...
Fernando dos Santos, Ana L. C. Bazzan
JAVA
2001
Springer
13 years 12 months ago
Supporting dynamic parallel object arrays
We present efficient support for generalized arrays of parallel data driven objects. Array elements are regular C++ objects, and are scattered across the parallel machine. An indi...
Orion Sky Lawlor, Laxmikant V. Kalé
IPPS
1998
IEEE
13 years 11 months ago
Network-Aware Distributed Computing: A Case Study
Abstract. The development of network-aware applications, i.e. applications that dynamically adapt to network conditions, has had some success in the domain of multimedia applicatio...
Hongsuda Tangmunarunkit, Peter Steenkiste