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GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
15 years 9 months ago
Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles
Abstract. In many real-world applications of evolutionary computation, it is essential to reduce the number of fitness evaluations. To this end, computationally efficient models c...
Yaochu Jin, Bernhard Sendhoff
123
Voted
CN
2007
148views more  CN 2007»
15 years 3 months ago
Optimizing random walk search algorithms in P2P networks
In this paper we develop a model for random walk-based search mechanisms in unstructured P2P networks. This model is used to obtain analytical expressions for the performance metr...
Nabhendra Bisnik, Alhussein A. Abouzeid
136
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TCAD
2008
93views more  TCAD 2008»
15 years 3 months ago
Chip Optimization Through STI-Stress-Aware Placement Perturbations and Fill Insertion
Starting at the 65-nm node, stress engineering to improve the performance of transistors has been a major industry focus. An intrinsic stress source--shallow trench isolation (STI)...
Andrew B. Kahng, Puneet Sharma, Rasit Onur Topalog...
151
Voted
EUROGP
2004
Springer
170views Optimization» more  EUROGP 2004»
15 years 7 months ago
Comparing Hybrid Systems to Design and Optimize Artificial Neural Networks
Abstract. In this paper we conduct a comparative study between hybrid methods to optimize multilayer perceptrons: a model that optimizes the architecture and initial weights of mul...
Pedro A. Castillo Valdivieso, Maribel Garcí...
156
Voted
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 9 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