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CEC
2007
IEEE
16 years 1 months ago
Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods
— Hypervolume based multiobjective evolutionary algorithms (MOEA) nowadays seem to be the first choice when handling multiobjective optimization problems with many, i.e., at lea...
Dimo Brockhoff, Eckart Zitzler
169
Voted
ESCIENCE
2007
IEEE
16 years 1 months ago
Intelligent Selection of Fault Tolerance Techniques on the Grid
The emergence of computational grids has lead to an increased reliance on task schedulers that can guarantee the completion of tasks that are executed on unreliable systems. There...
Daniel C. Vanderster, Nikitas J. Dimopoulos, Randa...
174
Voted
GECCO
2007
Springer
143views Optimization» more  GECCO 2007»
16 years 1 months ago
Learning and exploiting knowledge in multi-agent task allocation problems
Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowledge of their own capabilities. Over time, they develop a belief of their own sk...
Adam Campbell, Annie S. Wu
SAS
2007
Springer
125views Formal Methods» more  SAS 2007»
16 years 29 days ago
A Compilation Model for Aspect-Oriented Polymorphically Typed Functional Languages
Introducing aspect orientation to a polymorphically typed functional language strengthens the importance of type-scoped advices; i.e., advices with their effects being harnessed b...
Kung Chen, Shu-Chun Weng, Meng Wang, Siau-Cheng Kh...
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
16 years 11 days ago
Event-driven learning classifier systems for online soccer games
This paper reports on the application of classifier systems to the acquisition of decision-making algorithms for agents in online soccer games. The objective of this research is t...
Yuji Sato, Ryutaro Kanno