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» Parameterised system design based on genetic algorithms
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CORR
2010
Springer
125views Education» more  CORR 2010»
14 years 12 months ago
Critical control of a genetic algorithm
Based on speculations coming from statistical mechanics and the conjectured existence of critical states, I propose a simple heuristic in order to control the mutation probability...
Raphaël Cerf
EGICE
2006
15 years 3 months ago
Evolutionary Generation of Implicative Fuzzy Rules for Design Knowledge Representation
Abstract. In knowledge representation by fuzzy rule based systems two reasoning mechanisms can be distinguished: conjunction-based and implication-based inference. Both approaches ...
Mark Freischlad, Martina Schnellenbach-Held, Torbe...
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 6 months ago
Transgenetic algorithm: a new evolutionary perspective for heuristics design
Transgenetic algorithms are evolutionary computing techniques based on living processes where cooperation is the main evolutionary strategy. Those processes contain the movement o...
Elizabeth Ferreira Gouvea Goldbarg, Marco Cé...
IPPS
2006
IEEE
15 years 5 months ago
Placement and routing of Boolean functions in constrained FPGAs using a distributed genetic algorithm and local search
In this work we present a system for implementing the placement and routing stages in the FPGA cycle of design, into the physical design stage. We start with the ISCAS benchmarks,...
Manuel Rubio del Solar, Juan Manuel Sánchez...
SIGADA
2004
Springer
15 years 5 months ago
Comparative analysis of genetic algorithm implementations
Genetic Algorithms provide computational procedures that are modeled on natural genetic system mechanics, whereby a coded solution is “evolved” from a set of potential solutio...
Robert Soricone, Melvin Neville