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GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
13 years 11 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
COR
2007
80views more  COR 2007»
13 years 7 months ago
Scheduling with tool changes to minimize total completion time under controllable machining conditions
Scheduling under controllable machining conditions has been studied for some time. Scheduling with tool changes, particularly due to tool wear, has just begun to receive attention...
M. Selim Akturk, Jay B. Ghosh, Rabia K. Kayan
MST
2006
149views more  MST 2006»
13 years 7 months ago
Parameterized Intractability of Distinguishing Substring Selection
A central question in computational biology is the design of genetic markers to distinguish between two given sets of (DNA) sequences. This question is formalized as the NP-comple...
Jens Gramm, Jiong Guo, Rolf Niedermeier