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GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
14 years 2 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...
KDD
2007
ACM
237views Data Mining» more  KDD 2007»
14 years 10 months ago
Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior
Documents, such as those seen on Wikipedia and Folksonomy, have tended to be assigned with multiple topics as a meta-data. Therefore, it is more and more important to analyze a re...
Issei Sato, Hiroshi Nakagawa
PRIB
2009
Springer
120views Bioinformatics» more  PRIB 2009»
14 years 5 months ago
Knowledge-Guided Docking of WW Domain Proteins and Flexible Ligands
Studies of interactions between protein domains and ligands are important in many aspects such as cellular signaling. We present a knowledge-guided approach for docking protein dom...
Haiyun Lu, Hao Li, Shamima Banu Bte Sm Rashid, Wee...
IMECS
2007
13 years 12 months ago
Knowledge Acquisition from Computer Log Files by ADG with Variable Agent Size
Abstract—We had previously proposed an outstanding evolutionary method, Automatically Defined Groups (ADG), for generating heterogeneous cooperative agents, and then we had deve...
Akira Hara, Yoshiaki Kurosawa, Takumi Ichimura
AI
2004
Springer
14 years 3 months ago
On Customizing Evolutionary Learning of Agent Behavior
The fitness function of an evolutionary algorithm is one of the few possible spots where application knowledge can be made available to the algorithm. But the representation and u...
Jörg Denzinger, Alvin Schur