Sub‐optimal Internet of Thing devices deployment using branch and bound method
The main contributions of this paper are (1) IoT network deployment problem formation as MILP problem to optimise the transmission among network nodes, and (2) New BB method with a machine learning function to reduce the computational complexity. Abstract The Internet of Thing (IoT) network deployments are widely investigated in 4G and 5G systems and ...
Haesik Kim
wiley +1 more source
Técnicas de dualidade e programação não-linear inteira-mista aplicadas ao programa diário da operação eletroenergética [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia Elétrica.O problema da programação diária da operação eletroenergética é tratado, neste trabalho, como um problema de otimização ...
Caicedo Aristizábal, Juan David
core
Development mathematics model production planning of urea fertilizer to minimize production cost with mixed integer linear programming (MILP) [PDF]
Food is a necessity that must be met at all times. As it is known that fertilizer is one of the main factors in the success of food security in Indonesia. Currently, the government is targeting food self-sufficiency in 2017 that requires harvesting capability at least twice a year in the area of paddy fields in Indonesia.
Inaki Maulida Hakim +2 more
openaire +1 more source
Comprehensive and representative conservation planning for biodiversity of ice‐free Antarctica
Abstract Antarctica is designated as a natural reserve devoted to peace and science, with Antarctic Specially Protected Areas (ASPAs) serving as the primary instrument for area‐based biodiversity protection. However, the existing ASPA network lacks the comprehensiveness and representativeness required under Annex V, Article 3(2), of the Madrid Protocol.
Wen Wen +3 more
wiley +1 more source
Abstract In this paper, we address the problem of routing a fleet of electric vehicles (EVs) to serve a set of customers, geographically distributed, within their time windows. We assume that EVs may also be recharged en route, and the amount of energy recharged at a recharging station (RS) is a decision variable itself, that is, partial recharges are ...
Maurizio Bruglieri +3 more
wiley +1 more source
MPC-Based Surveillance over Graphs by Multiple Agents
The multi-agent surveillance problem over graphs is to find trajectories of multiple agents that travel each node as evenly as possible. This problem has several applications such as city safety management and disaster rescue.
Mifuyu Kido +2 more
doaj +1 more source
A matheuristic for the traveling salesman problem with positional consistency constraints
Abstract We propose a matheuristic for the traveling salesman problem with positional consistency constraints, where we seek to generate a set of routes with minimum total cost, in which the nodes visited in more than one route (consistent nodes) must occupy the same relative position in all routes.
Luís Gouveia, Ana Paias, Mafalda Ponte
wiley +1 more source
A Scheduling Model for Optimizing Joint UAV-Truck Operations in Last-Mile Logistics Distribution
This paper investigates the joint scheduling problem of unmanned aerial vehicles (UAVs) and trucks for community logistics, where UAVs act as service providers for last-mile delivery and trucks serve as mobile storage platforms for drone deployment.
Xiaocheng Liu +4 more
doaj +1 more source
A unified formulation for home healthcare routing and scheduling problems
Abstract Home Healthcare is an essential component of healthcare systems, where caregivers visit patients' homes to deliver services. While presenting advantages with respect to institutional care, such as being cost‐effective and alleviating family burdens, it presents challenges in scheduling and routing caregivers efficiently.
Sara Ceschia +7 more
wiley +1 more source
Abstract We address the scheduling conflicting jobs on parallel identical machines problem with makespan minimization, a classical and computationally challenging variant of parallel machine scheduling. We develop and evaluate three distinct solution methodologies: a novel constraint programming (CP) formulation, and two metaheuristics: a multi ...
Roberto Maria Rosati +3 more
wiley +1 more source

