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GECCO
2007
Springer
532views Optimization» more  GECCO 2007»
16 years 25 days ago
Evolving evolutionary algorithms using evolutionary algorithms
A new model for automatic generation of Evolutionary Algorithms (EAs) by evolutionary means is proposed in this paper. The model is based on a simple Genetic Algorithm (GA). Every...
Laura Diosan, Mihai Oltean
WER
2005
Springer
16 years 4 days ago
Towards a Cognitive-Based Approach to Distributed Requirement Elicitation Processes
Distance between stakeholders working on a global software development project introduces problems in communication and control. Processes like requirements elicitation, where comm...
Gabriela N. Aranda, Aurora Vizcaíno, Alejan...
NIPS
1997
15 years 8 months ago
Reinforcement Learning with Hierarchies of Machines
We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...
Ronald Parr, Stuart J. Russell
CCS
2007
ACM
16 years 25 days ago
Hardware-rooted trust for secure key management and transient trust
We propose minimalist new hardware additions to a microprocessor chip that protect cryptographic keys in portable computing devices which are used in the field but owned by a cen...
Jeffrey S. Dwoskin, Ruby B. Lee
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 10 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace