Multiobjective output feedback control of a class of stochastic hybrid systems with state-dependent noise.
Multiobjective problems of convex geometry.
Multiobjective Thermal Generation Dispatch
Multiobjective variational programming under generalized (V,ρ)-B-type I functions
Multiparametric linear fractional functionals programming.
In this paper a multiparametric linear fractional functionals program, with parameters appearing only in the objective function, is generated. The optimum solution of this parametric program is supposed to satisfy the constraints as equations only. It is also shown that the set of parameters forms a convex polyhedron.
Multiperiod medians on networks
Multiple criteria assignment problem : combining the collective criterion with individual preferences
Multiple Criteria Decision Making for Power Generation Investment Planning Under Restrictions of Aggregate Emission Control
Multiple objective optimization of hydro-thermal systems using Ritz's method.
Multiple routing strategies in a labelled network
We present here models and algorithms for the construction of efficient path systems, robust to possible variations of the characteristics of the network. We propose some interpretations of these models and proceed to numerical experimentations of the related algorithms. We conclude with a discussion of the way those concepts may be applied to the design of a Public Transportation System.
Multiple Routing Strategies in a Labelled Network
We present here models and algorithms for the construction of efficient path systems, robust to possible variations of the characteristics of the network. We propose some interpretations of these models and proceed to numerical experimentations of the related algorithms. We conclude with a discussion of the way those concepts may be applied to the design of a Public Transportation System.
Multiplicateurs de Kuhn-Tucker pour des jeux non coopératifs contraints
Multistage multivariate nested distance: An empirical analysis
Multistage stochastic optimization requires the definition and the generation of a discrete stochastic tree that represents the evolution of the uncertain parameters in time and space. The dimension of the tree is the result of a trade-off between the adaptability to the original probability distribution and the computational tractability. Moreover, the discrete approximation of a continuous random variable is not unique. The concept of the best discrete approximation has been widely explored and...
Multistage stochastic programs: The state-of-the-art and selected bibliography
Multistage stochastic programs via autoregressive sequences and individual probability constraints
The paper deals with a special case of multistage stochastic programming problems. In particular, the paper deals with multistage stochastic programs in which a random element follows an autoregressive sequence and constraint sets correspond to the individual probability constraints. The aim is to investigate a stability (considered with respect to a probability measures space) and empirical estimates. To achieve new results the Wasserstein metric determined by norm and results of multiobjective...
Multi-swarm that learns
Multi-working modes product-color planning based on evolutionary algorithms and swarm intelligence.