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Operational Research

Group
The Operational Research Group of the University of Brescia is internationally recognized for its research activity in the application of combinatorial optimization models and methods to complex decision-making problems. The research activity is based on the representation of such problems by means of mathematical optimization models, and on the design of optimization methods for their solution in the most efficient (fast) and effective (economic) way. The research activity of the group covers a wide range of topics, both theoretical and practical. A non-comprehensive list includes the following: - node and arc routing problems; - logistics problems, in particular: integrated inventory and routing problems, integrated loading and routing problems, integrated production and routing problems; - location problems; - scheduling problems; - optimal portfolio selection; - worst-case analysis in combinatorial problems; - multi-objective problems; - reoptimization problems; - exact methods for the solution of mixed integer linear optimization models; - heuristic methods for the solution of optimization problems; - hybrid methods that integrate heuristic and mathematical modeling (matheuristic) for the solution of optimization problems. In addition to being active in carrying out research activities, its researchers are active in promoting and disseminating the results obtained by participating in numerous workshops, PhD schools, and conferences at a national and international level. They are also active in promoting and disseminating research activity by organizing workshops, PhD schools and international conferences. Its researchers have promoted and participated in various local, national and international research projects.
Address:
Contrada S. Chiara, 50, 25122 Brescia (Italia)
date/time interval:
(January 1, 1997 - )
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Overview

Acronym

ORBrescia

Term type

Gruppo di ricerca coordinata

Linked Units

Department of Economics and Management

Research

Concepts (7)


PE1_15 - Discrete mathematics and combinatorics - (2016)

PE1_19 - Control theory and optimisation - (2016)

PE1_21 - Application of mathematics in industry and society - (2016)

Settore MAT/09 - Ricerca Operativa

Matematica

Metodi quantitativi

Scienze economiche

Free text keywords (4)

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Metodi esatti
Metodi euristici
Problemi decisionali complessi
Ricerca operativa
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Research fields

(a) node and arc routing problems; (b) logistics problems, in particular: integrated inventory and routing problems, integrated loading and routing problems, integrated production and routing problems; (c) location problems; (d) scheduling problems; (e) optimal portfolio selection; (f) worst-case analysis in combinatorial problems; (g) multi-objective problems; (h) reoptimization problems; (i) exact methods for the solution of mixed integer linear optimization models; (j) heuristic methods for the solution of optimization problems; (k) hybrid methods that integrate heuristic and mathematical modeling (matheuristic) for the solution of optimization problems.
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Affiliations

Collaboration with other Workgroups

Models and Algorithms for Optimization

Responsibles

SPERANZA Maria Grazia

Members (9)

ANGELELLI Enrico
ARCHETTI Claudia
BERTAZZI Luca
FILIPPI Carlo
GUASTAROBA Gianfranco
MORANDI Valentina
Peirano Lorenzo
SPERANZA Maria Grazia
VINDIGNI Michele

Outputs

Publications (489)

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Contact

Email address

gianfranco.guastaroba@unibs.it

Web site

http://or-brescia.unibs.it/
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