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» On the practical genetic algorithms
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IWANN
1995
Springer
15 years 10 months ago
Test Pattern Generation for Analog Circuits Using Neural Networks and Evolutive Algorithms
This paper presents a comparative analysis of neural networks, simulated annealing, and genetic algorithms in the determination of input patterns for testing analog circuits. The ...
José Luis Bernier, Juan J. Merelo Guerv&oac...
GECCO
2004
Springer
16 years 4 days ago
Self Adaptation of Operator Rates in Evolutionary Algorithms
Abstract. This work introduces a new evolutionary algorithm that adapts the operator probabilities (rates) while evolves the solution of the problem. Each individual encodes its ge...
Jonatan Gomez
ICES
2003
Springer
165views Hardware» more  ICES 2003»
15 years 12 months ago
Speeding up Hardware Evolution: A Coprocessor for Evolutionary Algorithms
This paper proposes a coprocessor architecture to speed up hardware evolution. It is designed to be implemented in an FPGA with an integrated microprocessor core. The coprocessor r...
Tillmann Schmitz, Steffen G. Hohmann, Karlheinz Me...
SEAL
2010
Springer
15 years 5 months ago
Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms
During engineering design, it is often difficult to quantify product reliability because of insufficient data or information for modeling the uncertainties. In such cases, one need...
Rupesh Kumar Srivastava, Kalyanmoy Deb
CEC
2011
IEEE
14 years 6 months ago
Cost-benefit analysis of using heuristics in ACGP
—Constrained Genetic Programming (CGP) is a method of searching the Genetic Programming search space non-uniformly, giving preferences to certain subspaces according to some heur...
John W. Aleshunas, Cezary Z. Janikow