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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 8 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
135
Voted
GECCO
2006
Springer
151views Optimization» more  GECCO 2006»
15 years 8 months ago
Sporadic model building for efficiency enhancement of hierarchical BOA
This paper describes and analyzes sporadic model building, which can be used to enhance the efficiency of the hierarchical Bayesian optimization algorithm (hBOA) and other advance...
Martin Pelikan, Kumara Sastry, David E. Goldberg
169
Voted
GECCO
2006
Springer
198views Optimization» more  GECCO 2006»
15 years 8 months ago
Reward allotment in an event-driven hybrid learning classifier system for online soccer games
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
Yuji Sato, Yosuke Akatsuka, Takenori Nishizono
138
Voted
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 8 months ago
The role of diverse populations in phylogenetic analysis
The most popular approaches for reconstructing phylogenetic trees attempt to solve NP-hard optimization criteria such as maximum parsimony (MP). Currently, the bestperforming heur...
Tiffani L. Williams, Marc L. Smith
AGENTS
2001
Springer
15 years 8 months ago
Wasp nests for self-configurable factories
Agent-based approaches to manufacturing scheduling and control have gained increasing attention in recent years. Such approaches are attractive because they o er increased robustn...
Vincent A. Cicirello, Stephen F. Smith