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1.
Solving uncapacitated facility location problem using heuristic algorithms
Soumen Atta, Priya Ranjan Sinha Mahapatra, Anirban Mukhopadhyay, 2019, izvirni znanstveni članek

Opis: A well-known combinatorial optimization problem, known as the uncapacitated facility location problem (UFLP) is considered in this article. A deterministic heuristic algorithm and a randomized heuristic algorithm are presented to solve UFLP. Though the proposed deterministic heuristic algorithm is very simple, it produces good solution for each instance of UFLP considered in this article. The main purpose of this article is to process all the data sets of UFLP available in the literature using a single algorithm. The proposed two algorithms are applied on these test instances of UFLP to determine their effectiveness. Here, the solution obtained from the proposed randomized algorithm is at least as good as the solution produced by the proposed deterministic algorithm. Hence, the proposed deterministic algorithm gives upper bound on the solution produced by the randomized algorithm. Although the proposed deterministic algorithm gives optimal results for most of the instances of UFLP, the randomized algorithm achieves optimal results for all the instances of UFLP considered in this article including those for which the deterministic algorithm fails to achieve the optimal solutions.
Ključne besede: Uncapacitated Facility Location Problem (UFLP), Simple Plant Location Problem (SPLP), Warehouse Location Problem (WLP), Heuristics, Randomization
Objavljeno v RUNG: 17.04.2023; Ogledov: 887; Prenosov: 0
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2.
Deterministic and randomized heuristic algorithms for uncapacitated facility location problem
Soumen Atta, Priya Ranjan Sinha Mahapatra, Anirban Mukhopadhyay, 2018, objavljeni znanstveni prispevek na konferenci

Opis: A well-known combinatorial optimization problem, known as the Uncapacitated Facility Location Problem (UFLP) is considered in this paper. Given a set of customers and a set of potential facilities, the objective of UFLP is to open a subset of the potential facilities such that sum of the opening cost for opened facilities and the service cost of customers is minimized. In this paper, deterministic and randomized heuristic algorithms are presented to solve UFLP. The effectivenesses of the proposed algorithms are tested on UFLP instances taken from the OR-Library. Although the proposed deterministic algorithm gives optimal results for most of the instances, the randomized algorithm achieves optimal results for all the instances of UFLP considered in this paper including those for which the deterministic algorithm fails to achieve the optimal solutions.
Ključne besede: Uncapacitated facility location problem (UFLP), Simple plant location problem (SPLP), Warehouse location problem (WLP), Heuristics Randomization
Objavljeno v RUNG: 17.04.2023; Ogledov: 972; Prenosov: 0
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3.
Solving uncapacitated facility location problem using monkey algorithm
Soumen Atta, Priya Ranjan Sinha Mahapatra, Anirban Mukhopadhyay, 2018, objavljeni znanstveni prispevek na konferenci

Opis: The Uncapacitated Facility Location Problem (UFLP) is considered in this paper. Given a set of customers and a set of potential facility locations, the objective of UFLP is to open a subset of facilities to satisfy the demands of all the customers such that the sum of the opening cost for the opened facilities and the service cost is minimized. UFLP is a well-known combinatorial optimization problem which is also NP-hard. So, a metaheuristic algorithm for solving this problem is natural choice. In this paper, a relatively new swarm intelligence-based algorithm known as the Monkey Algorithm (MA) is applied to solve UFLP. To validate the efficiency of the proposed binary MA-based algorithm, experiments are carried out with various data instances of UFLP taken from the OR-Library and the results are compared with those of the Firefly Algorithm (FA) and the Artificial Bee Colony (ABC) algorithm.
Ključne besede: Uncapacitated Facility Location Problem (UFLP), Simple Plant Location Problem (SPLP), Warehouse Location Problem (WLP), Monkey Algorithm
Objavljeno v RUNG: 17.04.2023; Ogledov: 948; Prenosov: 0
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4.
Selenium affects mercury ligand environment in terrestrial food chain – a XAS study
Katarina Vogel Mikuš, Alojz Kodre, Iztok Arčon, Anja Kavčič, 2022, objavljeni povzetek znanstvenega prispevka na konferenci

Opis: Selenium (Se) supplied in inorganic form (as selenate or selenite) was shown to decrease mercury (Hg) toxicity by forming HgSe in soils as well as in animal and human tissues, while for plants there is no evidence of Hg-Se complexation. Although Se in not an essential element for plants it was shown to counteract various abiotic stresses when applied at trace amounts. The aim of this work was therefore to study physiological responses and Hg speciation in plant/ fungi-animal food chain. Lettuce (Lactuca sativa) and porcini mushrooms (Boletus edulis) were taken as model plant/ fungal species and Spanish slug (Arion vulgaris) as a model animal species. The plants, fed to the slugs, were grown in HgCl2 contaminated soil or soil from the vicinity of Hg mine in Idrija with traces of HgS and methyl Hg). Physiological parameters of plants and slugs were monitored during the experiment. At the end the biological material was frozen in LN2 and freeze dried. Hg L3-edge (12284 eV) XANES and EXAFS spectra of the biological samples and standards were measured at liquid helium temperature in fluorescence detection mode at the BM30B beamline of the ESRF synchrotron in Grenoble, using the 30-segment germanium solid state detector [1]. The results showed that addition of Se alleviated Hg toxic effects in the food chain started at HgCl2-contaminated soil, while for the soil from Idrija, containing low amounts of highly toxic methyl-Hg, the beneficial effect was less prominent [2]. No Hg-Se complexes were detected in plants, while in mushrooms and slugs the complexation was confirmed. Addition of Se to the plants, however, changed Hg ligand environment in plant tissues from sulphur to nitrogen ligands. Hg and Se both target the -SH functional groups in the plant tissues, so toxic effects of Hg are rather enhanced than alleviated by addition of Se. Nevertheless, the addition of Se to the plants is beneficial for higher trophic levels and lowers Hg toxicity for the primary consumers, the slugs.
Ključne besede: mercury, toxicity, ligand environment, XANES, EXAFS, food chain, plant, slug, fungi
Objavljeno v RUNG: 05.12.2022; Ogledov: 1449; Prenosov: 0
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5.
Physiological responses of garden cress (L. sativum) to different types of microplastics
Sara Pignattelli, Andrea Broccoli, Monia Renzi, 2020, izvirni znanstveni članek

Opis: In this study, for the first time, acute and chronic toxicity caused by four different kinds of microplastics: polypropylene (PP), polyethylene (PE), polyvinylchloride (PVC), and a commercial mixture (PE + PVC) on Lepidium sativum were evaluated. Parameters considered were: i) biometric parameters (e.g. percentage inhibition of seed germination, plant height, leaf number and fresh biomass productions); and ii) oxidative stress (e.g. levels of hydrogen peroxide, glutathione, and ascorbic acid). On plants exposed to chronic stress chlorophylls, carotenoids, aminolaevulinic acid, and proline productions were, also, evaluated. PVC resulted the most toxic than other plastic materials tested. This study represents the first paper highlighting microplastics are able to produce oxidative burst in tested plants and could represent an important starting point for future researches on biochemical effects of microplastic in terrestrial environments such as agroecosystems.
Ključne besede: Polypropylene Polyethylene Polyvinylchloride Plastic packaging Microplastics Plant exposure
Objavljeno v RUNG: 24.04.2020; Ogledov: 2911; Prenosov: 0
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6.
Food production: wastes as potential source of bioactive compounds
Branka Mozetič Vodopivec, predavanje na tuji univerzi

Ključne besede: Food Production, lectures for students, reuse of wastes from plant processing
Objavljeno v RUNG: 11.09.2018; Ogledov: 3404; Prenosov: 0
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7.
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