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CEC
2008
IEEE
14 years 2 months ago
High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis
— The high-level synthesis process involves three interdependent and NP-complete optimization problems: (i) the operation scheduling, (ii) the resource allocation, and (iii) the ...
Christian Pilato, Daniele Loiacono, Fabrizio Ferra...
TEC
2002
117views more  TEC 2002»
13 years 7 months ago
A genetic algorithm for shortest path routing problem and the sizing of populations
This paper presents a genetic algorithmic approach to the shortest path (SP) routing problem. Variable-length chromosomes (strings) and their genes (parameters) have been used for ...
Chang Wook Ahn, Rudrapatna S. Ramakrishna
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
14 years 1 months ago
Genetic algorithms for the sailor assignment problem
This paper examines a real-world application of genetic algorithms – solving the United States Navy’s Sailor Assignment Problem (SAP). The SAP is a complex assignment problem ...
Deon Garrett, Joseph Vannucci, Rodrigo Silva, Dipa...
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 1 months ago
A genetic algorithm approach to the selection of near-optimal subsets from large sets
The problem attempted in this paper is to select a sample from a large set where the sample is required to have a particular average property. The problem can be expressed as an o...
P. Whiting, P. W. Poon, J. N. Carter
GECCO
2003
Springer
14 years 1 months ago
Coevolutionary Convergence to Global Optima
We discuss a theory for a realistic, applicable scaled genetic algorithm (GA) which converges asymptoticly to global optima in a coevolutionary setting involving two species. It is...
Lothar M. Schmitt