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CEC
2009
IEEE
16 years 4 days ago
Evolving modular neural-networks through exaptation
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
Jean-Baptiste Mouret, Stéphane Doncieux
GECCO
2004
Springer
164views Optimization» more  GECCO 2004»
15 years 10 months ago
Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models
Hybrid algorithms that combine genetic algorithms with the Nelder-Mead simplex algorithm have been effective in solving certain optimization problems. In this article, we apply a s...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
SECON
2007
IEEE
15 years 11 months ago
INPoD: In-Network Processing over Sensor Networks based on Code Design
—In this paper, we develop a joint Network Coding (NC)-channel coding error-resilient sensor-network approach that performs In-Network Processing based on channel code Design (IN...
Kiran Misra, Shirish S. Karande, Hayder Radha
GECCO
2006
Springer
201views Optimization» more  GECCO 2006»
15 years 9 months ago
Selective self-adaptive approach to ant system for solving unit commitment problem
This paper presents a novel approach to solve the constrained unit commitment problem using Selective Self-Adaptive Ant System (SSAS) for improving search performance by automatic...
Songsak Chusanapiputt, Dulyatat Nualhong, Sujate J...
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 10 months ago
Toward comparison-based adaptive operator selection
Adaptive Operator Selection (AOS) turns the impacts of the applications of variation operators into Operator Selection through a Credit Assignment mechanism. However, most Credit ...
Álvaro Fialho, Marc Schoenauer, Michè...