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GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
14 years 2 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
CAMAD
2006
IEEE
14 years 4 days ago
Improving quality of service for switched processing systems
Switched Processing Systems (SPS) capture the essence of a fundamental resource allocation problem in many modern communication, computer and manufacturing systems involving hetero...
Ying-Chao Hung, George Michailidis
IJHIS
2006
94views more  IJHIS 2006»
13 years 8 months ago
A new fine-grained evolutionary algorithm based on cellular learning automata
In this paper, a new evolutionary computing model, called CLA-EC, is proposed. This model is a combination of a model called cellular learning automata (CLA) and the evolutionary ...
Reza Rastegar, Mohammad Reza Meybodi, Arash Hariri
AIWORC
2000
IEEE
14 years 27 days ago
Distance Learning Using Web-Based Multimedia Environment
The "schooling industry" is faced with an inescapable demand to redefine its endeavors in terms of producing learning, rather than providing instructions. We propose a h...
Khalid J. Siddiqui, Junaid Ahmed Zubairi
ATAL
2005
Springer
14 years 2 months ago
Modeling task allocation using a decision theoretic model
Mediation is the process of decomposing a task into subtasks, finding agents suitable for these subtasks and negotiating with agents to obtain commitments to execute these subtas...
Sherief Abdallah, Victor R. Lesser