Selecting the most efficient genetic algorithm sets in solving unconstrained building optimization problem

Author:

Alajmi Ali,Wright Jonathan

Publisher

Elsevier BV

Subject

Urban Studies,Ecological Modeling,Renewable Energy, Sustainability and the Environment,Environmental Engineering

Reference17 articles.

1. Alajmi, A., Wright, J., 2006. Efficient optimisation of building design using a genetic algorithm, Loughborough University.

2. Evolutionary Algorithms in Theory and Practice;Bäck,1996

3. Bäck, T., Fogel, D.B., Michalewicz, Z., 2000. Evolutionary computation 2: advanced algorithms and operators (evolutionary computation), Inst. Phys. ISBN 0750306653.

4. Caldas, L.G., 2001. An evolution-based generative design system: using adaptation to shape architectural form, thesis, Massachusetts Institute of Technology.

5. Caldas, L.G., Norford, L.K., 2001. Architectural constrains in a generative design system: interpreting energy consumption levels, 7th International IBPSA.

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