Novel derivative of harmony search algorithm for discrete design variables

By Zong Woo Geem. Applied Mathematics and Computation, 2008

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Mathematical and Metaheuristic Applications in Design Optimization of Steel Frame Structures: An Extensive Review (2013, unknown): “[194–206].”
A survey on applications of the harmony search algorithm (2013, methodology): “In order to cope with realistic design situations, Geem (2007) proposed a novel derivative for discrete design variables based on the HS algorithm.”
Particle-swarm harmony search for water network design (2009, methodology): “The theoretical background of the HS algorithm has its roots in the usage of a stochastic derivative based on the population density of multiple elite solution vectors when searching a new vector, rather than in the usage of a calculus-based derivative of single solution vector (Geem 2008a ).”
Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems (2008, background): “500 Lee and Geem [18] It is obvious from the Table 2 that the result obtained using HHSA is better than the best feasible solution previously reported.”
Teaching-Learning-Based Optimization: An optimization method for continuous non-linear large scale problems (2012, methodology): “Enhancement due to modifications in the existing algorithms is reported in GA [18], PSO [5,19,27,28,31], ACO [23], ABC [4], HS [11], SFL [17], etc.”