In parking garages massive arrival of vehicles may cause delays at the entrance when the arrival rate is similar to (or greater than) the service rate. Furthermore, if the number of vehicles leaving the facility is less ...

In Constraint Programming, enumeration strategies are crucial for resolution performances. The effect of strategies is generally unpredictable. In a previous work, we proposed to dynamically change strategies showing bad ...

The present work details the experience on designing a multiagent system devoted to a dynamic Job Shop setting using the PASSI methodology. The agent system is in charge of the planning and scheduling of jobs and their ...

In this work we analyze a predator-prey model proposed by A. Kent et al. in Ecol. Model. 162, 233 (2003), in which two aspect of the model are considered: an effect of emigration or immigration on prey population to constant ...

We report both theoretical and numerical results on convection for a binary magnetic mixture under rotation. We focus on the stationary convection for idealized boundary conditions. We obtain explicit expressions of ...

We report theoretical and numerical results on convection for a magnetic fluid in a viscoelastic carrier liquid. We focus on the stationary convection for idealized boundary conditions. We obtain explicit expressions of ...

Subset Problems are models for many important applications in the field of Operational Research. In this paper, we solve some benchmarks of the Set Partitioning Problem with an Ant-based algorithm using a transition rule ...

This paper presents the design of an algorithm based on Ant Colony Optimization paradigm to solve the Software Project Scheduling Problem. This problem consists in deciding who does what during the software project ...

The continuous technical advances conducted to the proliferation of very small and very cheap equipped microprocessors with sensors and with capacitance of wireless communication. The prosecution of the information is ...

Adaptive Business Intelligence is the discipline that combines prediction, optimization and adaptability into a system answering two important questions: What would probably happen in the future? and What is the better ...