A two-stage placement algorithm with multi-objective optimization and group decision making

Abstract

A two-stage placement algorithm with multi-objective optimization and group decision making is proposed. The first stage aims to determine a set 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 make a choice 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.