作者: Chandra Ade Irawan , Xiang Song , Dylan Jones , Negar Akbari
DOI: 10.1016/J.EJOR.2016.09.032
关键词: Concave polygon 、 Variable (computer science) 、 Mathematical optimization 、 Simulation 、 Offshore wind power 、 Port (computer networking) 、 Turbine 、 Integer programming 、 Computer science
摘要: This paper investigates a port layout problem, where the of an installation for offshore wind farm needs to be generated in efficient way so as minimise transportation cost main components turbine within port. Two mixed integer linear programming (MILP) models are established configure optimal layout, shapes subareas that need located rectangular with several possible dimensional configurations select from and shape area can treated either convex or concave polygon. The MILPs solved optimality small-sized problems. Matheuristic approaches based on Variable Neighbourhood Search (VNS) exact method also proposed find solutions medium-sized methods assessed using randomly data sets. In addition, Scottish is used case study. results obtained computational experiments validate effectiveness matheuristic approaches.