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GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
15 years 10 months ago
Breeding swarms: a new approach to recurrent neural network training
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural...
Matthew Settles, Paul Nathan, Terence Soule
GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
15 years 7 months ago
Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach
Developing dispatching rules for manufacturing systems is a tedious process, which is time- and cost-consuming. Since there is no good general rule for different scenarios and ob...
Torsten Hildebrandt, Jens Heger, Bernd Scholz-Reit...
DAC
2000
ACM
16 years 6 months ago
Dynamic power management of complex systems using generalized stochastic Petri nets
In this paper, we introduce a new technique for modeling and solving the dynamic power management (DPM) problem for systems with complex behavioral characteristics such as concurr...
Qinru Qiu, Qing Wu, Massoud Pedram
INFOCOM
2008
IEEE
15 years 11 months ago
Resource Allocation in Multi-Radio Multi-Channel Multi-Hop Wireless Networks
—A joint congestion control, channel allocation and scheduling algorithm for multi-channel multi-interface multihop wireless networks is discussed. The goal of maximizing a utili...
Simone Merlin, Nitin H. Vaidya, Michele Zorzi
GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
15 years 10 months ago
Reducing the Cost of the Hybrid Evolutionary Algorithm with Image Local Response in Electronic Imaging
Abstract. The paper focuses on the efficiency of the hybrid evolutionary algorithm (HEA) for solving the global optimization problem arising in electronic imaging. The particular v...
Igor V. Maslov