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» Embedded core testing using genetic algorithms
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GD
2006
Springer
15 years 6 months ago
Planarity Testing and Optimal Edge Insertion with Embedding Constraints
The planarization method has proven to be successful in graph drawing. The output, a combinatorial planar embedding of the so-called planarized graph, can be combined with state-o...
Carsten Gutwenger, Karsten Klein, Petra Mutzel
EVOW
2001
Springer
15 years 7 months ago
Path Tracing in Genetic Algorithms Applied to the Multiconstrained Knapsack Problem
This contribution investigates the usefulness of F. Glover’s path tracing concept within a Genetic Algorithm context for the solution of the multiconstrained knapsack problem (MK...
Jens Levenhagen, Andreas Bortfeldt, Hermann Gehrin...
GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
15 years 6 months ago
Rotated test problems for assessing the performance of multi-objective optimization algorithms
This paper presents four rotatable multi-objective test problems that are designed for testing EMO (Evolutionary Multiobjective Optimization) algorithms on their ability in dealin...
Antony W. Iorio, Xiaodong Li
113
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HEURISTICS
2008
120views more  HEURISTICS 2008»
15 years 2 months ago
A local linear embedding module for evolutionary computation optimization
A Local Linear Embedding (LLE) module enhances the performance of two Evolutionary Computation (EC) algorithms employed as search tools in global optimization problems. The LLE em...
Fabio Boschetti
CEC
2007
IEEE
15 years 6 months ago
Solving, rating and generating Sudoku puzzles with GA
This paper studies the problems involved in solving, rating and generating Sudoku puzzles with genetic algorithms (GA). Sudoku is a number puzzle that has recently become a worldwi...
Timo Mantere, Janne Koljonen