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AIEDAM
2000
134views more  AIEDAM 2000»
15 years 6 months ago
Adaptive enlargement of state spaces in evolutionary designing
In designing a state space of possible designs is implied by the representation used and the computational processes that operate on that representation. GAs are a means of effect...
John S. Gero, Vladimir A. Kazakov
CHINAF
2011
14 years 10 months ago
Immigrant schemes for evolutionary algorithms in dynamic environments: Adapting the replacement rate
One approach for evolutionary algorithms (EAs) to address dynamic optimization problems (DOPs) is to maintain diversity of the population via introducing immigrants. So far all imm...
Xin Yu, Ke Tang, Xin Yao
CEC
2008
IEEE
16 years 25 days ago
Evolutionary Multi-objective Simulated Annealing with adaptive and competitive search direction
— In this paper, we propose a population-based implementation of simulated annealing to tackle multi-objective optimisation problems, in particular those of combinatorial nature....
Hui Li, Dario Landa Silva
PODC
2010
ACM
15 years 8 months ago
Brief announcement: adaptive content placement for peer-to-peer video-on-demand systems
In this paper, we address the problem of content placement in peer-to-peer systems, with the objective of maximizing the utilization of peers' uplink bandwidth resources. We ...
Bo Tan, Laurent Massoulié
GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
15 years 7 months ago
Avida-MDE: a digital evolution approach to generating models of adaptive software behavior
Increasingly, high-assurance applications rely on autonomic systems to respond to changes in their environment. The inherent uncertainty present in the environment of autonomic sy...
Heather Goldsby, Betty H. C. Cheng