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GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 5 months 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
15 years 5 months 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»
15 years 4 months 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
15 years 4 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
15 years 4 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