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ROUPEC, J. POPELA, P. HRABEC, D. NOVOTNÝ, J. HAUGEN, K. OLSTAD, A.
Original Title
Hybrid Algorithm for Network Design Problem with Uncertain Demands
Type
conference paper
Language
English
Original Abstract
The purpose of the paper is to present a hybrid algorithm to solve a transportation optimization model with random demand parameters and network design variables. At first, the classical deterministic linear transportation model with network design 0-1 variables is introduced. Then, randomness is considered for demand parameters and modeled by here-and-now approach. The obtained scenario-based model leads to a mixed integer linear program (MILP) that can be solved by common integer programming techniques, see e.g. the branch-and-bound algorithm implemented in the CPLEX solver. Such a program may reach solvability limitations of MIP algorithms for large scale real world data, so a suitable heuristic development is welcome. Therefore, the idea of combination of traditional optimization algorithm and genetic algorithm is discussed and developed. At the end, the results are illustrated and also verified for a small test instance by figures.
Keywords
hybrid algorithm, návrh dopravní sítě, stochastické programování, genetický algoritmus, GAMS
Authors
ROUPEC, J.; POPELA, P.; HRABEC, D.; NOVOTNÝ, J.; HAUGEN, K.; OLSTAD, A.
RIV year
2013
Released
23. 10. 2013
ISBN
978-988-19252-3-7
Book
Lecture Notes in Engineering and Computer Science WCECS 2013
Edition
1
Edition number
2078-0958
Periodical
Lecture Notes in Engineering and Computer Science
Year of study
Number
State
Hong Kong Special Administrative Region of China
Pages from
554
Pages to
559
Pages count
6
BibTex
@inproceedings{BUT103257, author="Jan {Roupec} and Pavel {Popela} and Dušan {Hrabec} and Jan {Novotný} and Kjetil Kare {Haugen} and Asmund {Olstad}", title="Hybrid Algorithm for Network Design Problem with Uncertain Demands", booktitle="Lecture Notes in Engineering and Computer Science WCECS 2013", year="2013", series="1", journal="Lecture Notes in Engineering and Computer Science", volume="2013", number="1", pages="554--559", isbn="978-988-19252-3-7", issn="2078-0958" }