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» Robust Solutions in Unstable Optimization Problems
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MP
2006
87views more  MP 2006»
13 years 8 months ago
A Robust Optimization Approach to Dynamic Pricing and Inventory Control with no Backorders
In this paper, we present a robust optimization formulation for dealing with demand uncertainty in a dynamic pricing and inventory control problem for a make-to-stock manufacturing...
Elodie Adida, Georgia Perakis
GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
13 years 10 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke
GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
13 years 10 months ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Kalyanmoy Deb
KES
2005
Springer
14 years 2 months ago
A Robust Approach for Improving Computational Efficiency of Order-Picking Problems
The new market forces have affected the operation of distribution centers (DCs) extremely. The DCs demand an increased productivity and a low cost in their daily operation. This pa...
Yu-Min Chiang, Shih-Hsin Chen, Kuo-Chang Wu
ICALP
2010
Springer
14 years 1 months ago
Thresholded Covering Algorithms for Robust and Max-min Optimization
The general problem of robust optimization is this: one of several possible scenarios will appear tomorrow, but things are more expensive tomorrow than they are today. What should...
Anupam Gupta, Viswanath Nagarajan, R. Ravi