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» Evolving Triggers for Dynamic Environments
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GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
14 years 11 months ago
Multiobjective robustness for portfolio optimization in volatile environments
Multiobjective methods are ideal for evolving a set of portfolio optimisation solutions that span a range from highreturn/high-risk to low-return/low-risk, and an investor can cho...
Ghada Hassan, Christopher D. Clack
71
Voted
ACSAC
2000
IEEE
15 years 2 months ago
Secure Smart Homes using Jini and UIUC SESAME
In this paper, we discuss our approach to constructing a dynamic and secure “Smart Home” environment and tackling the challenges associated with it. We envision a Smart Home a...
Jalal Al-Muhtadi, Manish Anand, M. Dennis Mickunas...
73
Voted
CEC
2008
IEEE
15 years 4 months ago
Grammatical bias and building blocks in meta-grammar Grammatical Evolution
—This paper describes and tests the utility of a meta Grammar approach to Grammatical Evolution (GE). Rather than employing a fixed grammar as is the case with canonical GE, und...
Erik Hemberg, Michael O'Neill, Anthony Brabazon
111
Voted
AAAI
1994
14 years 11 months ago
Solution Reuse in Dynamic Constraint Satisfaction Problems
Many AI problems can be modeled as constraint satisfaction problems (CSP), but many of them are actually dynamic: the set of constraints to consider evolves because of the environ...
Gérard Verfaillie, Thomas Schiex
JHSN
2000
112views more  JHSN 2000»
14 years 10 months ago
A hierarchical Quality of Service control architecture for configurable multimedia applications
In order to achieve the best application-level Quality-of-Service (QoS), multimedia applications need to be dynamically tuned and reconfigured to adapt to fluctuating computing an...
Baochun Li, William Kalter, Klara Nahrstedt