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GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
15 years 5 months ago
Learning, anticipation and time-deception in evolutionary online dynamic optimization
In this paper we focus on an important source of problem– difficulty in (online) dynamic optimization problems that has so far received significantly less attention than the tr...
Peter A. N. Bosman
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
15 years 6 months ago
Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case
The focus of this paper is on how to design evolutionary algorithms (EAs) for solving stochastic dynamic optimization problems online, i.e. as time goes by. For a proper design, t...
Peter A. N. Bosman, Han La Poutré
SIGSOFT
2010
ACM
14 years 9 months ago
Using dynamic analysis to create trace-focused user interfaces for IDEs
This research demonstration presents the tool, Dynamic Interactive Views for Reverse Engineering (Diver). Diver supports software understanding through a trace focused user interf...
Del Myers, Margaret-Anne D. Storey
CVPR
2008
IEEE
16 years 1 months ago
Learning 4D action feature models for arbitrary view action recognition
In this paper we present a novel approach using a 4D (x,y,z,t) action feature model (4D-AFM) for recognizing actions from arbitrary views. The 4D-AFM elegantly encodes shape and m...
Pingkun Yan, Saad M. Khan, Mubarak Shah
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 3 months ago
Indirect co-evolution for understanding belief in an incomplete information dynamic game
This study aims to design a new co-evolution algorithm, Mixture Co-evolution which enables modeling of integration and composition of direct co-evolution and indirect coevolution....
Nanlin Jin