Implementing multi objective genetic algorithm for life cycle carbon footprint and life cycle cost minimisation: A building refurbishment case study

Highlights:

(1) We use Multi Objective Genetic Algorithms to optimise refurbishment designs.

(2) We used Life Cycle Carbon Footprint and Life Cycle Cost as objective criteria.

(3) MOGA chose a design with the thickest insulation and smallest available windows.

(4) The utilization of MOGA has the potential to reduce LCCF and LCC.

(5) Thermal bridge insulation and different fuel types can impact LCCF and LCC.