The harmony search heuristic algorithm for discrete structural optimization

By Kang Seok Lee, Zong Woo Geem, Sang-Ho Lee, K. Bae. 2005

405 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computational Theory and Mathematics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/62d3d22ea33efbb17b5f8a4f4cee7fe862024ead

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In Civil and Structural Engineering

In Computational Theory and Mathematics

In Statistics and Probability

Citations in the corpus

Transport energy modeling with meta-heuristic harmony search algorithm, an application to Turkey (2008, methodology): “Lee et al. (2005) has recommended that parameter values ranged between 0.7 and 0.95 for HMCR, 0.2 and 0.5 for PAR, and 10 and 50 for HMS to produce good performance of the HS algorithm.”
A survey on applications of the harmony search algorithm (2013, background): “Originally, applications where HS was first assessed as an effective meta-heuristic focused mainly on the design of water distribution networks (Geem, 2006), benchmark optimization (Li and Li, 2007), structural design (Lee et al., 2005) and vehicle routing problems (Geem, 2005; Geem et al., 2005).”
Application of Teaching-Learning-Based-Optimization algorithm for the discrete optimization of truss structures (2014, methodology): “This structure Vol. 18, No. 6 / September 2014 − 1765 − was previously solved by several researchers, such as Lee et al. (2005), Li et al. (2009), Wu and Chow (1995).”
A new optimization method: Dolphin echolocation (2013, background): “Wu and Chow [22] Lee and Geem [23] Li et al.”
Particle-swarm harmony search for water network design (2009, methodology): “So far, the HS algorithm has been applied to various engineering optimization problems, such as structural design (Lee et al. 2005, Degertekin 2007), soil-stability analysis (Cheng et al. 2008), ground-water modelling (Ayvaz 2007), multiple-dam operation (Geem 2007a), hydrologic parameter…”
Flower pollination algorithm: A novel approach for multiobjective optimization (2014, methodology): “For example, harmony search, developed by Zong Woo Geem in 2001 (Geem et al. 2001; Geem 2006, 2009), has been applied in many areas such as highly challenging water distribution networks (Geem 2006) and discrete structural optimization (Lee et al. 2005).”
Harmony search algorithm for minimum cost design of steel frames with semi-rigid connections and column bases (2010, methodology): “HMCR and PAR parameters are introduced to allow the solution to escape from local optima and to improve the global optimum prediction of HS algorithm ( Lee et al. 2005 ).”