Područje interesa Odjela za računalnu inteligenciju je teorija, oblikovanje, primjena i razvoj biološki i lingvistički motiviranih računalnih paradigmi s naglaskom na neuronske mreže, konekcijske sustave, genetičke algoritme, evolucijsko programiranje, neizrazite sustave i hibridne inteligentne sustave koji su temeljeni na ovim paradigmama.
Odjel za računalnu inteligenciju
Odjel za računalnu inteligenciju Hrvatske sekcije IEEE poziva Vas na predavanje:
A fuzzy hybrid method for solving the Risk-constrained Cash-in-Transit Vehicle Routing Problem
koje će održati dr. sc. Nina Radojičić (Assistant Professor at Faculty of Mathematics, University of Belgrade, Serbia) u četvrtak, 8. studenoga 2018. u 13:00 u Sivoj vijećnici; predviđeno trajanje predavanja je 60 minuta.
Pozivamo i sve zainteresirane studente, a posebice studente kojima je zanimljiva problematika rješavanja optimizacijskih problema da dođu na predavanje.
Sažetak: At the beginning of the talk, a brief overview of the research areas from my research group will be presented. The main part of the talk considers a special case of famous vehicle routing problem where additional risk constraints are incorporated. The problem is called the Risk-constrained Cash-in-Transit Vehicle Routing Problem (RCTVRP). A fuzzy GRASP (Greedy Randomized Adaptive Search Procedure) hybridized with path relinking (PR) methodology for solving the RCTVRP will be presented. Proposed fuzzy GRASP with PR hybrid shows better computational performance compared to its non-fuzzy version, while computational results on publicly available datasets indicate that the proposed algorithm outperforms all existing methods from the literature for solving the RCTVRP.
O predavaču: google scholar stranica (https://scholar.google.com/citations?user=SH42-usAAAAJ&hl=en).