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» A New Migration Model For Distributed Genetic Algorithms
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GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
13 years 11 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
2007
Springer
181views Optimization» more  GECCO 2007»
14 years 1 months ago
Exploring selection mechanisms for an agent-based distributed evolutionary algorithm
In this paper we propose an agent-based model of evolutionary algorithms (EAs) which extends seamlessly from concurrent single-host to distributed multi-host installations. Since ...
A. E. Eiben, Marc Schoenauer, Juan Luís Jim...
ACL
2010
13 years 5 months ago
A New Approach to Improving Multilingual Summarization Using a Genetic Algorithm
Automated summarization methods can be defined as "language-independent," if they are not based on any languagespecific knowledge. Such methods can be used for multiling...
Marina Litvak, Mark Last, Menahem Friedman
ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
14 years 1 months ago
Dejong Function Optimization by Means of a Parallel Approach to Fuzzified Genetic Algorithm
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
Ebrahim Bagheri, Hossein Deldari
INFORMATIKTAGE
2008
13 years 9 months ago
Context-Dependent and Self-Responsible Migration of Software Agents in Heterogeneous Environments
: Software agents are often employed in distributed environments to cope with the various dynamical dimensions of such systems. Furthermore, the paradigm of agent-oriented software...
Dirk Bade