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GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
14 years 2 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
AIPS
2006
13 years 10 months ago
Knowledge-based Middleware as an Architecture for Planning and Scheduling Systems
We present an architecture that provides a robust, scalable and flexible software framework for planning and scheduling systems through the use of standardized industrial-strength...
Bernd Schattenberg, Steffen Balzer, Susanne Biundo
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
14 years 2 months ago
An informed convergence accelerator for evolutionary multiobjective optimiser
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
Salem F. Adra, Ian Griffin, Peter J. Fleming
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 9 months ago
High-throughput Protein Interactome Data: Minable or Not?
There is an emerging trend in post-genome biology to study the collection of thousands of protein interaction pairs (protein interactome) derived from high-throughput experiments....
Jake Yue Chen, Andrey Y. Sivachenko, Lang Li
ATAL
2003
Springer
14 years 1 months ago
Rational action in agent programs with prioritized goals
Agent theories and agent programs are two very different styles of specification of agent behavior. The former are declarative in nature, while the latter have an imperative fl...
Sebastian Sardiña, Steven Shapiro