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ICCAD
2007
IEEE
96views Hardware» more  ICCAD 2007»
16 years 3 months ago
Monte-Carlo driven stochastic optimization framework for handling fabrication variability
Increasing effects of fabrication variability have inspired a growing interest in statistical techniques for design optimization. In this work, we propose a Monte-Carlo driven sto...
Vishal Khandelwal, Ankur Srivastava
SIGMOD
2000
ACM
141views Database» more  SIGMOD 2000»
15 years 10 months ago
Counting, Enumerating, and Sampling of Execution Plans in a Cost-Based Query Optimizer
Testing an SQL database system by running large sets of deterministic or stochastic SQL statements is common practice in commercial database development. However, code defects oft...
Florian Waas, César A. Galindo-Legaria
EMO
2006
Springer
113views Optimization» more  EMO 2006»
15 years 10 months ago
Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization
Abstract. Optimization in changing environment is a challenging task, especially when multiple objectives are to be optimized simultaneously. The basic idea to address dynamic opti...
Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sen...
JCC
2008
166views more  JCC 2008»
15 years 6 months ago
Reference energy extremal optimization: A stochastic search algorithm applied to computational protein design
: We adapt a combinatorial optimization algorithm, extremal optimization (EO), for the search problem in computational protein design. This algorithm takes advantage of the knowled...
Naigong Zhang, Chen Zeng
EC
2008
120views ECommerce» more  EC 2008»
15 years 6 months ago
Genetic Algorithms with Memory- and Elitism-Based Immigrants in Dynamic Environments
In recent years the genetic algorithm community has shown a growing interest in studying dynamic optimization problems. Several approaches have been devised. The random immigrants...
Shengxiang Yang