There is number of engineering design problems which are modeled as non-linear optimization problems. These problems are considered as benchmark problems for testing newly design optimization techniques. The objective of this paper is to demonstrate the effectiveness of a newly proposed constrained Laplacian Biogeography Based Optimization algorithm on three engineering design problems. The results are compared with existing efforts reported in literature. It is shown that in a majority of the cases constrained Laplacian Biogeography Based Optimization algorithm provides superior results.
CITATION STYLE
Garg, V., & Deep, K. (2017). Effectiveness of constrained Laplacian biogeography based optimization for solving structural engineering design problems. In Advances in Intelligent Systems and Computing (Vol. 547, pp. 206–219). Springer Verlag. https://doi.org/10.1007/978-981-10-3325-4_21
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