Expert and analytical activity act as an object of research in various fields scientific directions. Different dimensions matter: institutional parameters, personal subjective ones. The author characterizes contem-porary approaches respect to analysis evaluation think tanks academic centers. Publi-cations 2019-2020 were selected examples based on the criteria complexity high level their authors...

The integration of Artificial Intelligence techniques into Decision Support Systems yields effective solutions to decision problems, especially when complex scenarios are at hand. However, the use intelligent black-box models can hinder support system’s potential be fully adopted because opaque processes raise suspicions and doubts among careful makers. Moreover, appropriate comprehensible expl...

In this paper we consider the problem of transmitting packets over a point to point wireless link where the objective is to minimize the average transmitted power subject to a constraint on the average packet delay and drop rate. We propose an online algorithm based on a novel post-decision state based framework and two timescale stochastic approximation technique. We argue that the algorithm i...

In this study, a two phase hybrid heuristic approach was proposed to solve the multi-depot multi-vehicle inventory routing problem (MDMVIRP). Inventory routing problem (IRP) is one of the major issues in the supply chain networks that arise in the context of vendor managed systems (VMI) The MDMVIRP combines inventory management and routing decision. We are given on input a fleet of homogeneous ...

This paper presents a nonlinear mixed-integer programming model to minimize the stoppage cost of mixed-model assembly lines. Nowadays, most manufacturing firms employ this type of line due to the increasing varieties of products in their attempts to quickly respond to diversified customer demands. Advancement of new technologies, competitiveness, diversification of products, and large customer ...

As grow as the data-intensive applications in cloud computing day after day, data popularity in this environment becomes critical and important. Hence to improve data availability and efficient accesses to popular data, replication algorithms are now widely used in distributed systems. However, most of them only replicate the static number of replicas on some requested chosen sites and it is ob...

This paper addresses the problem of scheduling a parallel program represented by a directed acyclic task graph onto homogeneous cluster systems to minimize its execution time. Many sub-optimal algorithms have been proposed that promises acceptable running time but not optimal solutions. We propose an algorithm that guarantees optimal solutions but not acceptable running time. Experiments show t...

Desalination was for long considered a technology too expensive to adopt in most arid countries except those with large reserves of fossil fuels and affluent economies. Recent advances in desalination technology have abolished this old paradigm and have increased its market share in many arid and semi-arid countries. Nevertheless, the introduction of a desalination plant will inevitably be asso...