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» Evolutionary multiobjective optimization
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CEC
2007
IEEE
15 years 1 months ago
Designing memetic algorithms for real-world applications using self-imposed constraints
— Memetic algorithms (MAs) combine the global exploration abilities of evolutionary algorithms with a local search to further improve the solutions. While a neighborhood can be e...
Thomas Michelitsch, Tobias Wagner, Dirk Biermann, ...
CORR
2004
Springer
168views Education» more  CORR 2004»
15 years 1 months ago
Estimating Genome Reversal Distance by Genetic Algorithm
Sorting by reversals is an important problem in inferring the evolutionary relationship between two genomes. The problem of sorting unsigned permutation has been proven to be NP-ha...
Andy Auyeung, Ajith Abraham
126
Voted
CORR
2000
Springer
112views Education» more  CORR 2000»
15 years 1 months ago
Evolution of differentiated expression patterns in digital organisms
Abstract. We investigate the evolutionary processes behind the development and optimization of multiple threads of execution in digital organisms using the avida platform, a softwa...
Charles Ofria, Christoph Adami, Travis C. Collier,...
ELECTRONICMARKETS
2000
130views more  ELECTRONICMARKETS 2000»
15 years 1 months ago
Virtual Communities of Transaction: The Role of Personalization in Electronic Commerce
Bringing communities of buyers and sellers together in the arena of electronic commerce stimulates three major potentials: the building of trust, the collection and effective use ...
Petra Schubert, Mark Ginsburg
PPSN
2010
Springer
14 years 12 months ago
An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System
In this paper, we use the exact model (or dynamical system approach) to describe the standard evolutionary algorithm (EA) as a discrete dynamical system for dynamic optimization pr...
Renato Tinós, Shengxiang Yang