Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 3599

New Approach For MDCVRP: Genetic Algorithms With Specially Developed Built-In Heuristic Techniques


Filipec, Minea; Škrlec, Davor; Krajcar, Slavko
New Approach For MDCVRP: Genetic Algorithms With Specially Developed Built-In Heuristic Techniques // Proceedings of the IASTED International Conference on Modelling, Simulation and Optimization / Hamza, Mohamed H. (ur.).
Singapur: International Association of Science and Technology for Development (IASTED), 1997. str. 35-38 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 3599 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
New Approach For MDCVRP: Genetic Algorithms With Specially Developed Built-In Heuristic Techniques

Autori
Filipec, Minea ; Škrlec, Davor ; Krajcar, Slavko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the IASTED International Conference on Modelling, Simulation and Optimization / Hamza, Mohamed H. - : International Association of Science and Technology for Development (IASTED), 1997, 35-38

Skup
IASTED International Conference on Modelling, Simulation and Optimization

Mjesto i datum
Singapur, 11.08.1997. - 13.08.1997

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
multiple depot capacited vehicle routing problem (MDCVRP); genetic algorithm (GA); heuristic improvements

Sažetak
The paper proposes a genetic algorithm (GA) in conjunction with handy heuristic techniques to solve the Multiple Depot Capacited Vehicle Routing Problem (MDCVRP). Few heuristic improvements are added in order to prevent converging to local optima and to reduce the search space domain. The proposed GA approach has been tested on several MDVRP with different number of consumer nodes and different control parameters. The result of 430+5 node problem is used to reveal that the features of easy implementation, fast convergence, and near optimal solution in solving the MDVRP can be achieved by the proposed algorithm.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
036016

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Minea Skok (autor)

Avatar Url Davor Škrlec (autor)

Avatar Url Slavko Krajcar (autor)


Citiraj ovu publikaciju:

Filipec, Minea; Škrlec, Davor; Krajcar, Slavko
New Approach For MDCVRP: Genetic Algorithms With Specially Developed Built-In Heuristic Techniques // Proceedings of the IASTED International Conference on Modelling, Simulation and Optimization / Hamza, Mohamed H. (ur.).
Singapur: International Association of Science and Technology for Development (IASTED), 1997. str. 35-38 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Filipec, M., Škrlec, D. & Krajcar, S. (1997) New Approach For MDCVRP: Genetic Algorithms With Specially Developed Built-In Heuristic Techniques. U: Hamza, M. (ur.)Proceedings of the IASTED International Conference on Modelling, Simulation and Optimization.
@article{article, author = {Filipec, Minea and \v{S}krlec, Davor and Krajcar, Slavko}, editor = {Hamza, M.}, year = {1997}, pages = {35-38}, keywords = {multiple depot capacited vehicle routing problem (MDCVRP), genetic algorithm (GA), heuristic improvements}, title = {New Approach For MDCVRP: Genetic Algorithms With Specially Developed Built-In Heuristic Techniques}, keyword = {multiple depot capacited vehicle routing problem (MDCVRP), genetic algorithm (GA), heuristic improvements}, publisher = {International Association of Science and Technology for Development (IASTED)}, publisherplace = {Singapur} }
@article{article, author = {Filipec, Minea and \v{S}krlec, Davor and Krajcar, Slavko}, editor = {Hamza, M.}, year = {1997}, pages = {35-38}, keywords = {multiple depot capacited vehicle routing problem (MDCVRP), genetic algorithm (GA), heuristic improvements}, title = {New Approach For MDCVRP: Genetic Algorithms With Specially Developed Built-In Heuristic Techniques}, keyword = {multiple depot capacited vehicle routing problem (MDCVRP), genetic algorithm (GA), heuristic improvements}, publisher = {International Association of Science and Technology for Development (IASTED)}, publisherplace = {Singapur} }




Contrast
Increase Font
Decrease Font
Dyslexic Font