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GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
15 years 10 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 10 months ago
Robustness in cooperative coevolution
Though recent analysis of traditional cooperative coevolutionary algorithms (CCEAs) casts doubt on their suitability for static optimization tasks, our experience is that the algo...
R. Paul Wiegand, Mitchell A. Potter
ALT
2003
Springer
15 years 10 months ago
Can Learning in the Limit Be Done Efficiently?
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
Thomas Zeugmann
ATAL
2003
Springer
15 years 10 months ago
Agent memory and adaptation in multi-agent systems
We describe a general mechanism for adaptation in multiagent systems in which agents modify their behavior based on their memory of past events. These behavior changes can be elic...
Kristina Lerman, Aram Galstyan
ESOP
2000
Springer
15 years 10 months ago
Polyvariant Flow Analysis with Constrained Types
Abstract. The basic idea behind improving the quality of a monovariant control flow analysis such as 0CFA is the concept of polyvariant analyses such as Agesen's Cartesian Pro...
Scott F. Smith, Tiejun Wang