On the Performance of Smith's Rule in Single-Machine Scheduling with Nonlinear Cost.

Wiebke Höhn Tobias Jacobs

Published in: LATIN (2012)

Keyphrases

total cost
neural network
expected cost
cost reduction
normal form
minimum cost
high cost
complementarity problems
highly nonlinear
precedence constraints
nonlinear models
rule discovery
rule learning
production rules
cost sensitive
multi class
np hard
learning algorithm