Genetic Algorithm and Hybrid Genetic Algorithm for Space Allocation Problems - A Review


Genetic algorithm is an evolutionary approach for solving space layout and optimization problems. Due to some drawbacks in genetic algorithm, several modifications are performed on this algorithm. When the advantages of GA are combined with advantages of another algorithm then this approach is called Hybrid Genetic Algorithm. One of the most difficult problems in architectural design is space layout problem. Various methods are proposed for solving this problem like hybrid genetic algorithm, fuzzy logic, and artificial neural network. Space layout problem commonly occurs in warehouse, hotel, building floors, containers, shelves etc. Present paper contains a review on genetic algorithm, hybrid genetic algorithm approaches for solving space allocation problems on different sample test like warehouse, shelf, building floors and container etc. A comparison has been done of twelve research paper . The findings of this paper will be useful for those who look for solution of space allocation problem on different models.

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@inproceedings{Sharma2014GeneticAA, title={Genetic Algorithm and Hybrid Genetic Algorithm for Space Allocation Problems - A Review}, author={J. D. Sharma and Ravi Shankar Singhal and Randy L. Haupt and Sue Ellen Haupt and Pengfei Guo and Xuezhi Wang and Yingshi Han and Melanie Mitchell and David Beasley and David R. Bully and Ralph R. Martin and Tarek A. El-Mihoub and Adrian A. Hopgood and Lars Nolle and Alan Battersby and Jun H. Jo and John S. Gero and Siripong Malasri and Rafael E. Garc{\'i}a and Christian Quintero and Dragan Matic and Vladimir Filipovic and Aleksander Savic and Zorica Stanimirovic and Juan J. C{\'a}rdenas and arius Garcia and Jose Luis Romeral and Federico Andrade}, year={2014} }