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MP
2006
110views more  MP 2006»
15 years 6 months ago
Extending Scope of Robust Optimization: Comprehensive Robust Counterparts of Uncertain Problems
In this paper, we propose a new methodology for handling optimization problems with uncertain data. With the usual Robust Optimization paradigm, one looks for the decisions ensurin...
Aharon Ben-Tal, Stephen Boyd, Arkadi Nemirovski
EVOW
2009
Springer
16 years 29 days ago
Iterated Local Search for Minimum Power Symmetric Connectivity in Wireless Networks
The problem of finding a symmetric connectivity topology with minimum power consumption in a wireless ad-hoc network is NPhard. This work presents a new iterated local search to s...
Steffen Wolf, Peter Merz
GECCO
2004
Springer
122views Optimization» more  GECCO 2004»
15 years 11 months ago
An Improved Diversity Mechanism for Solving Constrained Optimization Problems Using a Multimembered Evolution Strategy
This paper presents an improved version of a simple evolution strategy (SES) to solve global nonlinear optimization problems. As its previous version, the approach does not require...
Efrén Mezura-Montes, Carlos A. Coello Coell...
STOC
2005
ACM
174views Algorithms» more  STOC 2005»
16 years 6 months ago
On the average case performance of some greedy approximation algorithms for the uncapacitated facility location problem
In combinatorial optimization, a popular approach to NP-hard problems is the design of approximation algorithms. These algorithms typically run in polynomial time and are guarante...
Abraham Flaxman, Alan M. Frieze, Juan Carlos Vera
GECCO
2010
Springer
170views Optimization» more  GECCO 2010»
15 years 11 months ago
Improving reliability of embedded systems through dynamic memory manager optimization using grammatical evolution
Technology scaling has offered advantages to embedded systems, such as increased performance, more available memory and reduced energy consumption. However, scaling also brings a...
José Manuel Colmenar, José L. Risco-...