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» Evolutionary Algorithms for the Satisfiability Problem
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GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
15 years 3 months ago
Unsupervised learning of echo state networks: balancing the double pole
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...
Fei Jiang, Hugues Berry, Marc Schoenauer
SIAMJO
2010
89views more  SIAMJO 2010»
14 years 8 months ago
A New Sequential Optimality Condition for Constrained Optimization and Algorithmic Consequences
Necessary first-order sequential optimality conditions provide adequate theoretical tools to justify stopping criteria for nonlinear programming solvers. These conditions are sati...
Roberto Andreani, José Mario Martíne...
ICAISC
2010
Springer
15 years 3 months ago
UMTS Base Station Location Planning with Invasive Weed Optimization
The problem of finding optimal locations of base stations, their pilot powers and channel assignments in UMTS mobile networks belongs to a class of NP-hard problems, and hence, me...
Rafal Zdunek, Tomasz Ignor
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 8 months ago
A destructive evolutionary process: a pilot implementation
This paper describes the application of evolutionary search to the problem of Flash memory wear-out. The operating parameters of Flash memory are notoriously difficult to determin...
Joe Sullivan, Conor Ryan
PPSN
1994
Springer
15 years 6 months ago
RPL2: A Language and Parallel Framework for Evolutionary Computing
The Reproductive Plan Language 2 (RPL2) is an extensible interpreted language for writing and using evolutionary computing programs. It supports arbitrary genetic representations,...
Patrick D. Surry, Nicholas J. Radcliffe