Configuration of a genetic algorithm for multi-objective optimisation of solar gain to buildings

We report the formulation and implementation of a genetic algorithm to address multi-objective optimisation of solar gain to buildings with the goal of minimising energy consumption and hence limiting carbon emissions. Heuristic optimisation approaches hold significant promise to balance complex tradeoffs in building design; however the unique nature of each building optimization problem limits broader implementation. Parameter selection is very challenging with little or no correlation between different architectural configurations. We address this issue through ‘calibration’ on smaller scale problems with derivable optimal solutions. Various seeding, selection and fitness options were trialled, as well as different parameter values. The Pareto front of the global solution set was successfully reproduced for the calibration case. Varying climate produced no major change in the nature of the solution; however, building orientation forced reparameterization for an optimal solution....

• Type: Conference
• Year: 2010
• Where: GECCO
• Authors: Ralph Evins
• Keywords: GECCO 2010, Optimal Solution, Optimization, Parameter Selection, Solar Gain