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» Introduction to genetic algorithms
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CLUSTER
2008
IEEE
16 years 1 months ago
A comparison of search heuristics for empirical code optimization
—This paper describes the application of various search techniques to the problem of automatic empirical code optimization. The search process is a critical aspect of auto-tuning...
Keith Seymour, Haihang You, Jack Dongarra
ICPR
2008
IEEE
16 years 1 months ago
GA based feature generation for training cascade object detector
Viola et al. have introduced a fast object detection scheme based on a boosted cascade of haar-like features. In this paper, we introduce a novel ternary feature that enriches the...
Qian Chen, Haiyuan Wu, Toshikazu Wada, Kazuyuki Ma...
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IWNAS
2008
IEEE
16 years 1 months ago
Storage Aware Resource Allocation for Grid Data Streaming Pipelines
Data streaming applications, usually composed with sequential/parallel tasks in a data pipeline form, bring new challenges to task scheduling and resource allocation in grid envir...
Wen Zhang, Junwei Cao, Yisheng Zhong, Lianchen Liu...
ACRI
2008
Springer
16 years 1 months ago
GP Generation of Pedestrian Behavioral Rules in an Evacuation Model Based on SCA
This paper presents a research in the context of pedestrian dynamics according to Situated Cellular Agent (SCA), a Multi-Agent Systems approach whose roots are on Cellular Automata...
Stefania Bandini, Sara Manzoni, Giancarlo Mauri, S...
ACSAC
2007
IEEE
16 years 1 months ago
Automated Vulnerability Analysis: Leveraging Control Flow for Evolutionary Input Crafting
We present an extension of traditional "black box" fuzz testing using a genetic algorithm based upon a Dynamic Markov Model fitness heuristic. This heuristic allows us t...
Sherri Sparks, Shawn Embleton, Ryan Cunningham, Cl...