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MP
2006
101views more  MP 2006»
15 years 6 months ago
Computational complexity of stochastic programming problems
Stochastic programming is the subfield of mathematical programming that considers optimization in the presence of uncertainty. During the last four decades a vast amount of litera...
Martin E. Dyer, Leen Stougie
EMO
2003
Springer
137views Optimization» more  EMO 2003»
15 years 12 months ago
A Two-Phase Local Search for the Biobjective Traveling Salesman Problem
This article proposes the Two-Phase Local Search for finding a good approximate set of non-dominated solutions. The two phases of this procedure are to (i) generate an initial sol...
Luis Paquete, Thomas Stützle
IPPS
2000
IEEE
15 years 11 months ago
Heuristic Solutions for a Mapping Problem in a TV-Anytime Server Network
This paper presents a novel broadband multimedia service called TV-Anytime. The basic idea of this service is to store broadcast media assets onto media server systems and allow c...
Xiaobo Zhou, Reinhard Lüling, Li Xie
CEC
2009
IEEE
16 years 1 months ago
Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms
— Genetic algorithms (GAs) have been argued to constitute a flexible search thereby enabling to solve difficult problems which classical optimization methodologies may find ha...
Jose M. Cabello, Jose M. Cejudo, Mariano Luque, Fr...
CEC
2007
IEEE
16 years 1 months ago
Convergence and rate of convergence of a foraging ant model
— We present an ant model that solves a discrete foraging problem. We describe simulations and provide a complete convergence analysis: we show that the ant population computes t...
Amine M. Boumaza, Bruno Scherrer