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GECCO
2009
Springer
133views Optimization» more  GECCO 2009»
14 years 7 months ago
Improved analysis methods for crossover-based algorithms
We deepen the theoretical analysis of the genetic algorithm for the all-pairs shortest path problem proposed by Doerr, Happ and Klein (GECCO 2008). We show that the growth of the ...
Benjamin Doerr, Madeleine Theile
GECCO
2003
Springer
116views Optimization» more  GECCO 2003»
15 years 2 months 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
WCNC
2008
IEEE
15 years 4 months ago
Combining Cricket System and Inertial Navigation for Indoor Human Tracking
—We present a system-level approach to localizing and tracking users on a basis of different sources of location information. We have applied a combination of the Cricket system ...
Michael Popa, Junaid Ansari, Janne Riihijärvi...
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 3 months ago
Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization
In the design of evolutionary multiobjective optimization (EMO) algorithms, it is important to strike a balance between diversity and convergence. Traditional mask-based crossover...
Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto...
GECCO
1999
Springer
126views Optimization» more  GECCO 1999»
15 years 1 months ago
Improving Genetic Algorithms by Search Space Reductions (with Applications to Flow Shop Scheduling)
Crossover operators that preserve common components can also preserve representation level constraints. Consequently, these constraints can be used to beneficially reduce the sea...
Stephen Y. Chen, Stephen F. Smith