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» Quantifying group problem solving with stochastic analysis
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SAGA
2005
Springer
15 years 2 months ago
Two Metaheuristics for Multiobjective Stochastic Combinatorial Optimization
Two general-purpose metaheuristic algorithms for solving multiobjective stochastic combinatorial optimization problems are introduced: SP-ACO (based on the Ant Colony Optimization ...
Walter J. Gutjahr
EUROCAST
2007
Springer
132views Hardware» more  EUROCAST 2007»
15 years 1 months ago
Using Omnidirectional BTS and Different Evolutionary Approaches to Solve the RND Problem
RND (Radio Network Design) is an important problem in mobile telecommunications (for example in mobile/cellular telephony), being also relevant in the rising area of sensor network...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa...
CPAIOR
2008
Springer
14 years 11 months ago
Stochastic Satisfiability Modulo Theories for Non-linear Arithmetic
Abstract. The stochastic satisfiability modulo theories (SSMT) problem is a generalization of the SMT problem on existential and randomized (aka. stochastic) quantification over di...
Tino Teige, Martin Fränzle
72
Voted
ORL
2006
118views more  ORL 2006»
14 years 9 months ago
On complexity of multistage stochastic programs
In this paper we derive estimates of the sample sizes required to solve a multistage stochastic programming problem with a given accuracy by the (conditional sampling) sample aver...
Alexander Shapiro
105
Voted
SAGA
2007
Springer
15 years 3 months ago
A VNS Algorithm for Noisy Problems and Its Application to Project Portfolio Analysis
Abstract. Motivated by an application in project portfolio analysis under uncertainty, we develop an algorithm S-VNS for solving stochastic combinatorial optimization (SCO) problem...
Walter J. Gutjahr, Stefan Katzensteiner, Peter Rei...