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HM
2007
Springer
114views Optimization» more  HM 2007»
14 years 1 months ago
Hybrid Numerical Optimization for Combinatorial Network Problems
Abstract. We discuss a general approach to hybridize traditional construction heuristics for combinatorial optimization problems with numerical based evolutionary algorithms. There...
Markus Chimani, Maria Kandyba, Mike Preuss
EMO
2005
Springer
194views Optimization» more  EMO 2005»
14 years 2 months ago
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
Michael Emmerich, Nicola Beume, Boris Naujoks
DSD
2003
IEEE
108views Hardware» more  DSD 2003»
14 years 2 months ago
Concurrent Operation Scheduling and Unit Allocation with an Evolutionary Technique
This paper presents a method with an evolutionary approach to some of the tasks of integrated-circuit (IC) design. The work is focused on application-specific integrated circuits ...
Gregor Papa, Jurij Silc
BMCBI
2011
13 years 4 months ago
Simulated evolution applied to study the genetic code optimality using a model of codon reassignments
Background: As the canonical code is not universal, different theories about its origin and organization have appeared. The optimization or level of adaptation of the canonical ge...
Jose Santos, Ángel Monteagudo
IJCAI
1993
13 years 10 months ago
Evolutionary Learning Strategy using Bug-Based Search
We introduce a new approach to GA (Genetic Algorithms) based problem solving. Earlier GAs did not contain local search (i.e. hill climbing) mechanisms, which led to optimization d...
Hitoshi Iba, Tetsuya Higuchi, Hugo de Garis, Taisu...