Detail publikace

Stochastic Integer Waste Management Problem Solved by a Modified Progressive Hedging Algorithm

Originální název

Stochastic Integer Waste Management Problem Solved by a Modified Progressive Hedging Algorithm

Anglický název

Stochastic Integer Waste Management Problem Solved by a Modified Progressive Hedging Algorithm

Jazyk

en

Originální abstrakt

In this paper we describe a real-world large-scale stochastic integer waste-management decision making problem. The problem consists of choosing the optimal locations and capacities of new incineration plants, that will be used for the disposal of waste. To solve this problem, we implement a modied version of the progressive hedging algorithm. The presented case study with real-world data concerns the situation in the Czech Republic.

Anglický abstrakt

In this paper we describe a real-world large-scale stochastic integer waste-management decision making problem. The problem consists of choosing the optimal locations and capacities of new incineration plants, that will be used for the disposal of waste. To solve this problem, we implement a modied version of the progressive hedging algorithm. The presented case study with real-world data concerns the situation in the Czech Republic.

BibTex


@article{BUT156001,
  author="Radovan {Šomplák} and Pavel {Popela} and Jakub {Kůdela}",
  title="Stochastic Integer Waste Management Problem Solved by a Modified Progressive Hedging Algorithm",
  annote="In this paper we describe a real-world large-scale stochastic integer waste-management decision making problem. The problem consists of choosing the optimal locations and capacities of new incineration plants, that will be used for the disposal of waste. To solve this problem, we implement a modied version of the progressive hedging algorithm. The presented case study with real-world data concerns the situation in the Czech Republic.",
  address="Brno University of Technology",
  chapter="156001",
  howpublished="print",
  institution="Brno University of Technology",
  number="2",
  volume="24",
  year="2018",
  month="december",
  pages="17--22",
  publisher="Brno University of Technology",
  type="journal article - other"
}