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GECCO
2009
Springer
153views Optimization» more  GECCO 2009»
15 years 8 months ago
An evaporation mechanism for dynamic and noisy multimodal optimization
Dealing with imprecise information is a common characteristic in real-world problems. Specifically, when the source of the information are physical sensors, a level of noise in t...
Jose Luis Fernandez-Marquez, Josep Lluís Ar...
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 7 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
GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
15 years 10 months ago
Exploring the behavior of building blocks for multi-objective variation operator design using predator-prey dynamics
In this paper, we utilize a predator-prey model in order to identify characteristics of single-objective variation operators in the multi-objective problem domain. In detail, we a...
Christian Grimme, Joachim Lepping, Alexander Papas...
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 10 months ago
Using pair approximations to predict takeover dynamics in spatially structured populations
The topological properties of a network directly impact the flow of information through a system. For example, in natural populations, the network of inter-individual contacts aff...
Joshua L. Payne, Margaret J. Eppstein
GECCO
2008
Springer
199views Optimization» more  GECCO 2008»
15 years 4 months ago
Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target em...
José Ignacio Hidalgo, José L. Risco-...