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https://doi.org/10.17535/crorr.2015.0035

Single-objective and multi-objective optimization using the HUMANT algorithm

Marko Mladineo   ORCID icon orcid.org/0000-0001-6901-5049 ; Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Split, Croatia
Ivica Veža ; Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Split, Croatia
Nikola Gjeldum ; Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Split, Croatia

Puni tekst: engleski, pdf (993 KB) str. 459-473 preuzimanja: 1.009* citiraj
APA 6th Edition
Mladineo, M., Veža, I. i Gjeldum, N. (2015). Single-objective and multi-objective optimization using the HUMANT algorithm. Croatian Operational Research Review, 6 (2), 459-473. https://doi.org/10.17535/crorr.2015.0035
MLA 8th Edition
Mladineo, Marko, et al. "Single-objective and multi-objective optimization using the HUMANT algorithm." Croatian Operational Research Review, vol. 6, br. 2, 2015, str. 459-473. https://doi.org/10.17535/crorr.2015.0035. Citirano 21.09.2019.
Chicago 17th Edition
Mladineo, Marko, Ivica Veža i Nikola Gjeldum. "Single-objective and multi-objective optimization using the HUMANT algorithm." Croatian Operational Research Review 6, br. 2 (2015): 459-473. https://doi.org/10.17535/crorr.2015.0035
Harvard
Mladineo, M., Veža, I., i Gjeldum, N. (2015). 'Single-objective and multi-objective optimization using the HUMANT algorithm', Croatian Operational Research Review, 6(2), str. 459-473. https://doi.org/10.17535/crorr.2015.0035
Vancouver
Mladineo M, Veža I, Gjeldum N. Single-objective and multi-objective optimization using the HUMANT algorithm. Croatian Operational Research Review [Internet]. 2015 [pristupljeno 21.09.2019.];6(2):459-473. https://doi.org/10.17535/crorr.2015.0035
IEEE
M. Mladineo, I. Veža i N. Gjeldum, "Single-objective and multi-objective optimization using the HUMANT algorithm", Croatian Operational Research Review, vol.6, br. 2, str. 459-473, 2015. [Online]. https://doi.org/10.17535/crorr.2015.0035

Sažetak
When facing a real world, optimization problems mainly become multi-objective i.e. they have several criteria of excellence. A multi-criteria problem submitted for multi-criteria evaluation is a complex problem, as usually there is no optimal solution, and no alternative is the best one according to all criteria. However, if a metaheuristic algorithm is combined with a Multi-Criteria Decision-Making method then, instead of submitting all solutions, only near-optimal solutions are submitted for multi-criteria evaluation, i.e. compared and ranked using a priori decision-maker preferences. It is called an a priori approach to multi-objective optimization. This paper presents this approach using a specially designed HUMANT (HUManoid ANT) algorithm derived from Ant Colony Optimization and the PROMETHEE method. The preliminary results of this optimization algorithm are presented for the Single-Objective Traveling Salesman Problem (TSP), Shortest Path Problem (SPP) and the Multi-Objective Partner Selection Problem (PSP). Additionally, the multi-objective approach of the HUMANT algorithm to single-objective optimization problems is presented using the Shortest Path Problem (SPP).

Ključne riječi
single-objective optimization; multi-objective optimization; HUMANT algorithm; PROMETHEE method; ant colony optimization

Hrčak ID: 148274

URI
https://hrcak.srce.hr/148274

Posjeta: 1.298 *