Optimal Design of Water Distribution Networks Using Harmony Search

By Zong Woo Geem. 2009

425 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/5b6b15dc074713412c273a8edaf2d5c68e88deb9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

A survey on applications of the harmony search algorithm (2013, methodology): “Flowchart of the HS algorithm (Geem, 2000).”
Optimum design of steel sway frames to BS5950 using harmony search algorithm (2009, methodology): “The detailed explanation of the method can be found in [46].”
Harmony search algorithm for minimum cost design of steel frames with semi-rigid connections and column bases (2010, background): “Since HS yielded very effective results, it has been applied to a diverse range of engineering optimization problems such as river flood model (Kim et al. 2001), a conceptual rainfall-runoff model considering seasonal variation (Paik et al. 2005), vehicle routing (Geem et al. 2005), optimal design o”
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).”
Global-best harmony search (2008, result): “The results of the experiments conducted are shown and compared with the versions of HS proposed by Lee and Geem [16] and a new variant of HS proposed by Mahdavi et al. [17].”
Particle-swarm harmony search for water network design (2009, unknown): “2003 , Geem 2006a , Perelman and Ostfeld 2007 , Lin et al .”
Harmony Search as a Metaheuristic Algorithm (2010, methodology): “us applications. Since its first appearance in 2001, it has been applied to solve many optimization problems including function optimization, engineering optimization [2], water distribution networks [3], groundwater modelling, energy-saving dispatch, truss design, vehicle routing, and others. The p”
Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems (2008, methodology): “It has been successfully applied to various benchmark and real-world problems including traveling salesman problem [13], parameter optimization of river flood model [14], design of pipeline network [15,16], and design of truss structures [17].”