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117
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ICTAI
2009
IEEE
15 years 9 months ago
Evolution Strategies for Constants Optimization in Genetic Programming
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...
César Luis Alonso, José Luis Monta&n...
ICCS
2004
Springer
15 years 8 months ago
Improvements in FSM Evolutions from Partial Input/Output Sequences
This work focuses on the synthesis of finite-state machines (FSMs) by observing its input/output behaviors. Evolutionary approaches that have been proposed to solve this problem do...
Sérgio G. Araújo, Antônio C. M...
93
Voted
GECCO
2003
Springer
15 years 7 months ago
DNA-Like Genomes for Evolution in silico
We explore the advantages of DNA-like genomes for evolutionary computation in silico. Coupled with simulations of chemical reactions, these genomes offer greater efficiency, reliab...
Michael West, Max H. Garzon, Derrel Blain
100
Voted
GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
15 years 6 months ago
A simple line search operator for ridged landscapes
This paper describes a new simple operator for Evolutionary Algorithms (EA) to climb ridged landscapes. Categories and Subject Descriptors: I.2.8 [Computing Methodologies]: Proble...
Andrea Soltoggio
112
Voted
GECCO
2010
Springer
182views Optimization» more  GECCO 2010»
15 years 6 months ago
Benchmarking CMA-EGS on the BBOB 2010 noisy function testbed
This paper describes the implementation and the results for CMA-EGS on the BBOB 2010 noisy testbed. The CMAEGS is a hybrid strategy which combines elements from gradient search an...
Steffen Finck, Hans-Georg Beyer