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GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
14 years 29 days 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...
CEC
2007
IEEE
14 years 3 months ago
A rigorous view on neutrality
Abstract—Motivated by neutrality observed in natural evolution often redundant encodings are used in evolutionary algorithms. Many experimental studies have been carried out on t...
Benjamin Doerr, Michael Gnewuch, Nils Hebbinghaus,...
CEC
2008
IEEE
14 years 3 months ago
Creating edge detectors by evolutionary reinforcement learning
— In this article we present results from experiments where a edge detector was learned from scratch by EANT2, a method for evolutionary reinforcement learning. The detector is c...
Nils T. Siebel, Sven Grünewald, Gerald Sommer
FCCM
2005
IEEE
124views VLSI» more  FCCM 2005»
14 years 2 months ago
Parallel Hardware Implementation of Cellular Learning Automata Based Evolutionary Computing (CLA-EC) on FPGA
The CLA-EC is a model obtained by combining the concepts of cellular learning automata and evolutionary algorithms. The parallel structure of the CLA-EC makes it suitable for hard...
Arash Hariri, Reza Rastegar, Morteza Saheb Zamani,...
ICMAS
1998
13 years 10 months ago
Determining Successful Negotiation Strategies: An Evolutionary Approach
To be successful in open, multi-agent environments, autonomous agents must be capable of adapting their negotiation strategies and tactics to their prevailing circumstances. To th...
Noyda Matos, Carles Sierra, Nicholas R. Jennings