<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Atwo-stage placement algorithm with multi-objective optimization and group decision making is proposed. The first stage aims to determineaset of design alternatives for objects placement by multi-objective combinatorial optimization. The second stage relies on business intelligence via group decision-making based on solution of optimization task to makeachoice of the most suitable alternative. The design alternatives are determined by means of weighted sum and lexicographic methods. The group decision making is used to evaluate determined design alternatives toward the design parameters. The described algorithm is used for wind farm layout optimization problem. The results of numerical testing demonstrate the applicability of the proposed algorithm.</p></abstract>

Atwo-stage placement algorithm with multi-objective optimization and group decision making is proposed. The first stage aims to determineaset of design alternatives for objects placement by multi-objective combinatorial optimization. The second stage relies on business intelligence via group decision-making based on solution of optimization task to makeachoice of the most suitable alternative. The design alternatives are determined by means of weighted sum and lexicographic methods. The group decision making is used to evaluate determined design alternatives toward the design parameters. The described algorithm is used for wind farm layout optimization problem. The results of numerical testing demonstrate the applicability of the proposed algorithm.

A Two-Stage Placement Algorithm with Multi-Objective Optimization and Group Decision Making

Institute of Information and Communication Technologies, BAS, 1113 Sofia, Bulgaria

University of Library Studies and Information Technologies, 1784 Sofia,

Institute of Information and Communication Technologies, BAS, 1113 Sofia,

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Atwo-stage placement algorithm with multi-objective optimization and group decision making is proposed. The first stage aims to determineaset of design...

A Two-Stage Placement Algorithm with Multi-Objective Optimization and Group Decision Making

Data publikacji: 06 kwi 2017

Zakres stron: 87 - 103

DOI: https://doi.org/10.1515/cait-2017-0007

Słowa kluczowe
Placement algorithm, multi objective alternatives determination, business intelligence, group decision making, wind farm layout design

© by Daniela Borissova

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

A Two-Stage Placement Algorithm with Multi-Objective Optimization and Group Decision Making

Data publikacji: 06 kwi 2017

Zakres stron: 87 - 103

DOI: https://doi.org/10.1515/cait-2017-0007

Słowa kluczowePlacement algorithm, multi objective alternatives determination, business intelligence, group decision making, wind farm layout design

© by Daniela Borissova

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Słowa kluczowe
Placement algorithm, multi objective alternatives determination, business intelligence, group decision making, wind farm layout design