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» Optimization Problems in Congestion Control
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GECCO
2010
Springer
207views Optimization» more  GECCO 2010»
15 years 8 months ago
Generalized crowding for genetic algorithms
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
Severino F. Galán, Ole J. Mengshoel
158
Voted
CSMR
2007
IEEE
15 years 10 months ago
Online Construction of Dynamic Object Process Graphs
A dynamic object process graph is a view on the control flow graph from the perspective of a single object. It has been shown that such a graph can be a useful starting point for...
Jochen Quante
110
Voted
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
15 years 9 months ago
Terrain generation using genetic algorithms
We propose a method for applying genetic algorithms to create 3D terrain data sets. Existing procedural algorithms for generation of terrain have several shortcomings. The most po...
TeongJoo Ong, Ryan Saunders, John Keyser, John J. ...
ICCAD
1999
IEEE
101views Hardware» more  ICCAD 1999»
15 years 8 months ago
Efficient model reduction of interconnect via approximate system gramians
Krylov-subspace based methods for generating low-order models of complicated interconnect are extremely effective, but there is no optimality theory for the resulting models. Alte...
Jing-Rebecca Li, Jacob White
NIPS
2007
15 years 5 months ago
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion
We consider apprenticeship learning—learning from expert demonstrations—in the setting of large, complex domains. Past work in apprenticeship learning requires that the expert...
J. Zico Kolter, Pieter Abbeel, Andrew Y. Ng