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» The Learning Power of Evolution
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CEC
2009
IEEE
15 years 6 months ago
Mixed Mutation Strategy Embedded Differential Evolution
Differential evolution (DE) is a powerful yet simple evolutionary algorithm for optimizing real valued optimization problems. Traditional investigations with differential evolution...
Millie Pant, Musrrat Ali, Ajith Abraham
AISADM
2005
Springer
15 years 5 months ago
Evolving Agents: Communication and Cognition
Computer programming of complex systems is a time consuming effort. Results are often brittle and inflexible. Evolving, self-learning flexible multi-agent systems remain a distant ...
Leonid I. Perlovsky
ITS
2004
Springer
105views Multimedia» more  ITS 2004»
15 years 4 months ago
EASE: Evolutional Authoring Support Environment
How smart should we be in order to cope with the complex authoring process of smart courseware? Lately this question gains more attention with attempts to simplify the process and ...
Lora Aroyo, Akiko Inaba, Larisa N. Soldatova, Riic...
ICEC
1994
82views more  ICEC 1994»
15 years 26 days ago
Improving Search by Incorporating Evolution Principles in Parallel Tabu Search
Combinatorial optimization problems require computing efforts which grow at least exponentially with the problem dimension. Therefore, the use of the remarkable power of massively...
Ivan De Falco, Renato Del Balio, Ernesto Tarantino...
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
15 years 5 months ago
Evolution of adult male oral tract shapes for close and open vowels
In this paper, we describe an experiment to evolve oral tract (mouth) shapes for a set of vowels for two adult males. Target vowels were recorded in an acoustically anechoic room ...
David M. Howard, Andy M. Tyrrell, Crispin H. V. Co...