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» A New Crossover Operator for Genetic Algorithms
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EH
2003
IEEE
90views Hardware» more  EH 2003»
14 years 23 days ago
Evolving Sinusoidal Oscillators Using Genetic Algorithms
In the present paper, single-opamp sinusoidal oscillators are synthesized using genetic algorithms. The motivation is to evolve new topologies of oscillators using different activ...
Varun Aggarwal
GECCO
2000
Springer
112views Optimization» more  GECCO 2000»
13 years 11 months ago
Code Compaction Using Genetic Algorithms
One method for compacting executable computer code is to replace commonly repeated sequences of instructions with macro instructions from a decoding dictionary. The size of the de...
Keith E. Mathias, Larry J. Eshelman, J. David Scha...
GECCO
2000
Springer
101views Optimization» more  GECCO 2000»
13 years 11 months ago
Using Genetic Algorithms with Asexual Transposition
Traditional Genetic Algorithms (GA) use crossover and mutation as the main genetic operators to achieve population diversity. Previous work using a biologically inspired genetic o...
Anabela Simões, Ernesto Costa
GECCO
2003
Springer
116views Optimization» more  GECCO 2003»
14 years 20 days ago
A Hybrid Genetic Algorithm Based on Complete Graph Representation for the Sequential Ordering Problem
Abstract. A hybrid genetic algorithm is proposed for the sequential ordering problem. It is known that the performance of a genetic algorithm depends on the survival environment an...
Dong-il Seo, Byung Ro Moon
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
13 years 11 months ago
Non-Standard Crossover for a Standard Representation - Commonality-Based Feature Subset Selection
The Commonality-Based Crossover Framework has been presented as a general model for designing problem specific operators. Following this model, the Common Features/Random Sample ...
Stephen Y. Chen, Cesar Guerra-Salcedo, Stephen F. ...