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» On the Brittleness of Evolutionary Algorithms
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SBIA
2004
Springer
15 years 11 months ago
Detecting Promising Areas by Evolutionary Clustering Search
A challenge in hybrid evolutionary algorithms is to define efficient strategies to cover all search space, applying local search only in actually promising search areas. This pape...
Alexandre César Muniz de Oliveira, Luiz Ant...
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
15 years 11 months ago
Rapid prototyping using evolutionary approaches: part 1
In this paper we describe a multi-objective problem solving approach, simultaneously minimizing average surface roughness Ra and build Time T, for object manufacturing by Rapid Pr...
Nikhil Padhye, Subodh Kalia
DPD
2002
163views more  DPD 2002»
15 years 6 months ago
Evolutionary Techniques for Web Caching
Web caching has been proposed as an effective solution to the problems of network traffic and congestion, Web objects access and Web load balancing. This paper presents a model for...
Athena Vakali
CEC
2008
IEEE
16 years 22 days ago
Direction matters in high-dimensional optimisation
Abstract— Directional biases are evident in many benchmarking problems for real-valued global optimisation, as well as many of the evolutionary and allied algorithms that have be...
Cara MacNish, Xin Yao
GECCO
2007
Springer
189views Optimization» more  GECCO 2007»
16 years 13 days ago
A more bio-plausible approach to the evolutionary inference of finite state machines
With resemblance of finite-state machines to some biological mechanisms in cells and numerous applications of finite automata in different fields, this paper uses analogies an...
Hooman Shayani, Peter J. Bentley