Nouveaux principes de lecture, à l'usage des Frères de Marie, de l'instruction chrétienne (5e édition)

[Abécédaire (français). 1851]

Investigation de liens de parenté à l'aide de l'ADN: lecture différentielle de rapports d'expertise

De nos jours, l'ADN apparaît fréquemment dans les affaires judiciaires et la littérature spécialisée. L'évaluation de ce type d'indice est vaste. En général, les débats restent toutefois assez théoriques. Dans la présente contribution, deux types courants d'analyse sont abordés, l'ADN nucléaire et l'ADN mitochondrial, dans le cadre d'une recherche en demi-fraternité. Deux rapports d'expertise seront décortiqués ligne par ligne pour en offrir une lecture critique et cerner la fiabilité et l'utilité des conclusions apportées par les experts.

A new chance-constrained maximum capture location problem

The paper presents a new model based on the basic Maximum Capture model,MAXCAP. The New Chance Constrained Maximum Capture modelintroduces astochastic threshold constraint, which recognises the fact that a facilitycan be open only if a minimum level of demand is captured. A metaheuristicbased on MAX MIN ANT system and TABU search procedure is presented tosolve the model. This is the first time that the MAX MIN ANT system isadapted to solve a location problem. Computational experience and anapplication to 55 node network are also presented.

Surviving in a competitive spatial market: The threshold capture model

Most facility location decision models ignore the fact that for a facility to survive it needs a minimum demand level to cover costs. In this paper we present a decision model for a firm thatwishes to enter a spatial market where there are several competitors already located. This market is such that for each outlet there is a demand threshold level that has to be achievedin order to survive. The firm wishes to know where to locate itsoutlets so as to maximize its market share taking into account the threshold level. It may happen that due to this new entrance, some competitors will not be able to meet the threshold and therefore will disappear. A formulation is presented together with a heuristic solution method and computational experience.