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ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
16 years 11 days ago
Dejong Function Optimization by Means of a Parallel Approach to Fuzzified Genetic Algorithm
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
Ebrahim Bagheri, Hossein Deldari
INFOCOM
2007
IEEE
16 years 20 days ago
Toward Optimal Network Fault Correction via End-to-End Inference
— We consider an end-to-end approach of inferring network faults that manifest in multiple protocol layers, with an optimization goal of minimizing the expected cost of correctin...
Patrick P. C. Lee, Vishal Misra, Dan Rubenstein
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
15 years 10 months ago
Hybrid search for cardinality constrained portfolio optimization
In this paper, we describe how a genetic algorithm approach added to a simulated annealing (SA) process offers a better alternative to find the mean variance frontier in the portf...
Miguel A. Gomez, Carmen X. Flores, Maria A. Osorio
WSC
2008
15 years 8 months ago
A simulation based optimization algorithm for slack reduction and workforce scheduling
In an assembly line with high labor proportion, the workforce planning and scheduling is a very complex problem. At the background of increasing labor costs, it is very important ...
Daniel Noack, Oliver Rose
FOCS
2005
IEEE
15 years 12 months ago
How to Pay, Come What May: Approximation Algorithms for Demand-Robust Covering Problems
Robust optimization has traditionally focused on uncertainty in data and costs in optimization problems to formulate models whose solutions will be optimal in the worstcase among ...
Kedar Dhamdhere, Vineet Goyal, R. Ravi, Mohit Sing...