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» On selecting the best individual in noisy environments
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GECCO
2008
Springer
147views Optimization» more  GECCO 2008»
13 years 6 months ago
On selecting the best individual in noisy environments
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
Wojciech Jaskowski, Wojciech Kotlowski
ICCV
1995
IEEE
13 years 8 months ago
Fast Object Recognition in Noisy Images Using Simulated Annealing
A fast simulatedannealingalgorithmis developed for automatic object recognition. The object recognition problem is addressed as the problem of best describing a match between a hy...
Margrit Betke, Nicholas C. Makris
PERCOM
2004
ACM
14 years 4 months ago
A User-Guided Cognitive Agent for Network Service Selection in Pervasive Computing Environments
Connectivity is central to pervasive computing environments. We seek to catalyze a world of rich and diverse connectivity through technologies that drastically simplify the task o...
George Lee, Peyman Faratin, Steven Bauer, John Wro...
VLDB
1997
ACM
142views Database» more  VLDB 1997»
13 years 9 months ago
Algorithms for Materialized View Design in Data Warehousing Environment
Selecting views to materialize is one of the most important decisions in designing a data warehouse. In this paper, we present a framework for analyzing the issues in selecting vi...
Jian Yang, Kamalakar Karlapalem, Qing Li
ROBIO
2006
IEEE
121views Robotics» more  ROBIO 2006»
13 years 11 months ago
Behaviour Cooperation by Negation for Mobile Robots
— This article presents a behavioural architecture, the Survival Kit (SK), which allows behaviours to cast their multivalued output by means of constraints over an ’action feat...
Pedro Santana, Luís Correia