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PPSN
1998
Springer
15 years 4 months ago
Genetic Algorithms for the Multiple Container Packing Problem
This paper presents two variants of Genetic Algorithms (GAs) for solving the Multiple Container Packing Problem (MCPP), which is a combinatorial optimization problem comprising sim...
Günther R. Raidl, Gabriele Kodydek
PPSN
2004
Springer
15 years 5 months ago
Multi-cellular Development: Is There Scalability and Robustness to Gain?
Evolving large phenotypes remains nowadays a problem due to the combinatorial explosion of the search space. Seeking better scalability and inspired by the development of biologica...
Daniel Roggen, Diego Federici
NN
2000
Springer
137views Neural Networks» more  NN 2000»
14 years 11 months ago
Evolutionary robots with on-line self-organization and behavioral fitness
We address two issues in Evolutionary Robotics, namely the genetic encoding and the performance criterion, also known as fitness function. For the first aspect, we suggest to enco...
Dario Floreano, Joseba Urzelai
ASIAN
2009
Springer
252views Algorithms» more  ASIAN 2009»
15 years 1 months ago
"Logic Wins!"
Abstract. Clever algorithm design is sometimes superseded by simple encodings into logic. We apply this motto to a few case studies in the formal verification of security propertie...
Jean Goubault-Larrecq
EH
2004
IEEE
107views Hardware» more  EH 2004»
15 years 3 months ago
Evolving Digital Circuits using Multi Expression Programming
Multi Expression Programming (MEP) is a Genetic Programming (GP) variant that uses linear chromosomes for solution encoding. A unique MEP feature is its ability of encoding multipl...
Mihai Oltean, Crina Grosan