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IFIP
2001
Springer
14 years 2 days ago
An Evolutionary Approach for Pareto-optimal Configurations in SOC Platforms
: One of the most important problems in SOC platforms design is that of defining strategies for tuning the parameters of a parameterized system so as to obtain the Pareto-optimal s...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi
GECCO
2004
Springer
137views Optimization» more  GECCO 2004»
14 years 1 months ago
Modeling Coevolutionary Genetic Algorithms on Two-Bit Landscapes: Random Partnering
Abstract. A model of coevolutioinary genetic algorithms (COGA) consisting of two populations coevolving on two-bit landscapes is investigated in terms of the effects of random par...
Ming Chang, Kazuhiro Ohkura, Kanji Ueda, Masaharu ...
GECCO
2007
Springer
135views Optimization» more  GECCO 2007»
14 years 1 months ago
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms
In this work we present a novel and efficient algorithm– independent stopping criterion, called the MGBM criterion, suitable for Multiobjective Optimization Evolutionary Algorit...
Luis Martí, Jesús García, Ant...
CEC
2010
IEEE
13 years 8 months ago
Evolvable mechanics: Hardware tools for evolutionary robotics
Embodying robot morphologies evolved in simulation can present serious problems for an engineer when translating simplified simulated mechanisms into working devices, often drawing...
Bill Bigge Inman, R. Harvey
ECTEL
2007
Springer
14 years 1 months ago
Using MotSaRT to Support On-Line Teachers in Student Motivation
Motivation to learn is affected by a student’s self-efficacy, goal orientation, locus of control and perceived task difficulty. In the classroom, teachers know how to motivate th...
Teresa Hurley, Stephan Weibelzahl