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Displaying 21 –
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195
We consider the Airspace Sectorization Problem (ASP) in which airspace
has to be partitioned into a given number of sectors, each of which
being assigned to a team of air traffic controllers. The objective is
to minimize the coordination workload between adjacent sectors while
balancing the total workload of controllers. Many specific
constraints, including both geometrical and aircraft related
constraints are taken into account. The problem is solved in a
constraint programming framework. Experimental...
Este trabajo trata el problema de asignación de recursos cuando el objetivo es maximizar la mínima recompensa y las funciones recompensa son continuas y estrictamente crecientes. Se estudian diferentes propiedades que conducen a algoritmos que permiten de forma eficiente la resolución de gran variedad de problemas de esta naturaleza, tanto con variables continuas como discretas.
In this paper, we propose a new method to generate a continuous belief functions from a multimodal probability distribution function defined over a continuous domain. We generalize Smets' approach in the sense that focal elements of the resulting continuous belief function can be disjoint sets of the extended real space of dimension n. We then derive the continuous belief function from multimodal probability density functions using the least commitment principle. We illustrate the approach on two...
In this paper, we propose a new method to generate a continuous
belief functions from a multimodal probability distribution function defined
over a continuous domain. We generalize Smets' approach in the sense that
focal elements of the resulting continuous belief function can be disjoint sets
of the extended real space of dimension n. We then derive the continuous
belief function from multimodal probability density functions using the least
commitment principle. We illustrate the approach on two...
We deal with a sequencing problem that arises when there are multiple repair actions available to fix a broken man-made system and the true cause of the system failure is uncertain. The system is formally described by a probabilistic model, and it is to be repaired by a sequence of troubleshooting actions designed to identify the cause of the malfunction and fix the system. The task is to find a course of repair with minimal expected cost. We propose a binary integer programming formulation for...
In the course of globalization, many enterprises change their
strategies and are coupled in partnerships with suppliers,
subcontractors and customers. This coupling forms supply chains
comprising several geographically distributed production
facilities. Production planning in a supply chain is a complicated
and difficult task, as it has to be optimal both for the local
manufacturing units and for the whole supply chain network. In
this paper two analytical models are used to solve the production
planning...
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