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Quantum Computing is a field of study in computer science based on the laws of quantum physics. Quantum computing is an attractive subject considering that quantum algorithms proved to be more efficient than classical algorithms and the advent of large-scale quantum computation. In particular, Grover's search algorithm is a quantum algorithm that is asymptotically faster than any classical search...
The p-center problem is one of the classical facility location problems. It finds applications in several different fields, including network planning and network optimization. Due to the increasing of bandwidth requirements, telecommunication operators are renewing the access networks in favoring of optical networks. Generally, the design of access network consists in determining the location of...
In statistical physics, Mean-Field Theory is a probabilistic model which has three different approaches, one of them is Mean-Field variational that replaces a difficult distribution by an easier one. An optimization problem can be associated with a probability distribution that involves the structure of the problem, and is generally difficult to treat. This paper presents a novel method based on the...
In this paper, we study a simple hyper-heuristic that functions by sampling solution chains. A solution chain in this algorithm is formed by successively applying a randomly chosen heuristic to the previous solution to generate the next solution. Operating in this way, the algorithm can benefit from the accumulated effect of applying multiple heuristics. A key factor in this algorithm is the strategy...
Fluidstructure interaction (FSI) problems play an important role in many technical applications, for instance, wind turbines, aircrafts, injection systems, or pumps. Thus, the optimization of such kind of problems is of high practical importance. Optimization algorithms aim to find the best values for a system's parameters under various conditions. In this paper an approach for multi-objective optimization...
This work studies a transportation problem called as lane reservation problem, which is to complete some special transportation tasks within pre-given deadline by optimally selecting lanes to be reserved from the network and designing source-destination paths for the special tasks. Because of the exclusive use of the reserved lanes by the special tasks, negative impact such as increase of travel time...
In this paper we address link dimensioning and routing problems related to the area of resilient network design. We present two network design problems that assume different flow restoration schemes used to cope with network failures. In both cases we allow bifurcation of traffic flows in the normal (failure-less) network state. In the case of a failure, we assume that affected primary flows (i.e...
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