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» Dual-Buffering Strategies in Object Bases
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AIR
2005
98views more  AIR 2005»
14 years 9 months ago
Evolving Dynamic Multi-Objective Optimization Problems with Objective Replacement
This paper studies the strategies for multi-objective optimization in a dynamic environment. In particular, we focus on problems with objective replacement, where some objectives ...
Sheng Uei Guan, Qian Chen, Wenting Mo
ECML
2007
Springer
15 years 3 months ago
Dual Strategy Active Learning
Abstract. Active Learning methods rely on static strategies for sampling unlabeled point(s). These strategies range from uncertainty sampling and density estimation to multi-factor...
Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett
CEC
2005
IEEE
15 years 3 months ago
Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies
Genetic algorithms (GAs) and evolution strategies (ESs) are two widely used evolutionary algorithms. The main differences between GAs and ESs lie in their representations and varia...
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
ISSTA
2000
ACM
15 years 1 months ago
OMEN: A strategy for testing object-oriented software
This paper presents a strategy for structural testing of objectoriented software systems with possibly unknown clients and unknown information about invoked methods. By exploiting...
Amie L. Souter, Lori L. Pollock
ICRA
2002
IEEE
109views Robotics» more  ICRA 2002»
15 years 2 months ago
A Feedback Strategy for Dextrous Manipulation
In a typical dextrous manipulation task, a goal configuration is reached through a sequence of continuous motions. Most often, a motion plan is computed offline and subsequently...
Milos Zefran