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GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
14 years 5 days ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
14 years 1 months ago
An effective use of crowding distance in multiobjective particle swarm optimization
In this paper, we present an approach that extends the Particle Swarm Optimization (PSO) algorithm to handle multiobjective optimization problems by incorporating the mechanism of...
Carlo R. Raquel, Prospero C. Naval Jr.
TEC
2012
195views Formal Methods» more  TEC 2012»
11 years 10 months ago
The Effects of Constant and Bit-Wise Neutrality on Problem Hardness, Fitness Distance Correlation and Phenotypic Mutation Rates
Kimura’s neutral theory of evolution has inspired researchers from the evolutionary computation community to incorporate neutrality into Evolutionary Algorithms (EAs) in the hop...
Riccardo Poli, Edgar Galván López
DSN
2004
IEEE
13 years 11 months ago
Diverse Firewall Design
Firewalls are the mainstay of enterprise security and the most widely adopted technology for protecting private networks. An error in a firewall policy either creates security hole...
Alex X. Liu, Mohamed G. Gouda
GECCO
2003
Springer
124views Optimization» more  GECCO 2003»
14 years 23 days ago
Study Diploid System by a Hamiltonian Cycle Problem Algorithm
Complex representation in Genetic Algorithms and pattern in real problems limits the effect of crossover to construct better pattern from sporadic building blocks. Instead of intro...
Dong Xianghui, Ruwei Dai