Title: Stochastic co-derivative of harmony search algorithm

Authors: Zong Woo Geem

Addresses: Information Technology Program, iGlobal University, 7700 Little River Turnpike, Annandale, Virginia, USA

Abstract: A novel stochastic co-derivative was developed based on the density information of multiple vectors in the harmony search (HS) algorithm. While the existing stochastic partial derivative represents the probability with which certain candidate value is selected when searching for a new vector, this co-derivative represents how much one variable in a vector is correlated with other variables. The proposed stochastic co-derivative harmony search (CDHS) algorithm was applied to the design of hydraulic structure, and found better results than the original harmony search algorithm in terms of the number of reaching the global optimum and the number of function evaluations. The algorithm was also tested with a bigger hydraulic problem, finding better solutions in terms of least and average costs when compared with other phenomenon-mimicking algorithms such as genetic algorithm (GA), simulated annealing (SA), and tabu search (TS).

Keywords: stochastic co-derivative; harmony search; combinatorial optimisation; evolutionary algorithms; phenomenon mimicking algorithms; vector density; multiple vectors; hydraulic structures; structural design.

DOI: 10.1504/IJMMNO.2011.037196

International Journal of Mathematical Modelling and Numerical Optimisation, 2011 Vol.2 No.1, pp.1 - 12

Received: 19 Feb 2010
Accepted: 05 May 2010
Published online: 26 Mar 2015 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article