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GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 10 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
GECCO
2006
Springer
282views Optimization» more  GECCO 2006»
15 years 10 months ago
A genetic algorithm for the longest common subsequence problem
A genetic algorithm for the longest common subsequence problem encodes candidate sequences as binary strings that indicate subsequences of the shortest or first string. Its fitnes...
Brenda Hinkemeyer, Bryant A. Julstrom
GECCO
2006
Springer
145views Optimization» more  GECCO 2006»
15 years 10 months ago
Immune anomaly detection enhanced with evolutionary paradigms
The paper presents an approach based on principles of immune systems to the anomaly detection problem. Flexibility and efficiency of the anomaly detection system are achieved by b...
Marek Ostaszewski, Franciszek Seredynski, Pascal B...
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 10 months ago
Dominance learning in diploid genetic algorithms for dynamic optimization problems
This paper proposes an adaptive dominance mechanism for diploidy genetic algorithms in dynamic environments. In this scheme, the genotype to phenotype mapping in each gene locus i...
Shengxiang Yang
148
Voted
ASPDAC
2009
ACM
113views Hardware» more  ASPDAC 2009»
15 years 9 months ago
Post-routing redundant via insertion with wire spreading capability
—Redundant via insertion is a widely recommended technique to enhance the via yield and reliability. In this paper, the post-routing redundant via insertion problem is transforme...
Cheok-Kei Lei, Po-Yi Chiang, Yu-Min Lee