Dynamic economic dispatch using harmony search algorithm with modified differential mutation operator

2012 ◽  
Vol 94 (4) ◽  
pp. 197-205 ◽  
Author(s):  
Prithwish Chakraborty ◽  
Gourab Ghosh Roy ◽  
B. K. Panigrahi ◽  
R. C. Bansal ◽  
Ankita Mohapatra
Keyword(s):  
Search Algorithm ◽  
Economic Dispatch ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Mutation Operator ◽  
Dynamic Economic Dispatch

scholarly journals An Improved Harmony Search Algorithm with Differential Mutation Operator

2009 ◽  
Vol 95 (4) ◽  
pp. 401-426 ◽  
Author(s):  
Prithwish Chakraborty, ◽  
Gourab Ghosh Roy ◽  
Swagatam Das ◽  
Dhaval Jain ◽  
Ajith Abraham
Keyword(s):  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Mutation Operator ◽  
Improved Harmony Search ◽  
Improved Harmony Search Algorithm

scholarly journals Theoretical and Empirical Analyses of an Improved Harmony Search Algorithm Based on Differential Mutation Operator

2012 ◽  
Vol 2012 ◽  
pp. 1-20 ◽  
Author(s):  
Longquan Yong ◽  
Sanyang Liu ◽  
Jianke Zhang ◽  
Quanxi Feng
Keyword(s):  
Optimization Problems ◽  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Population Diversity ◽  
Mutation Operator ◽  
Good Convergence ◽  
Improved Harmony Search ◽  
Mean And Variance ◽  
Evolution Algorithm

Harmony search (HS) method is an emerging metaheuristic optimization algorithm. In this paper, an improved harmony search method based on differential mutation operator (IHSDE) is proposed to deal with the optimization problems. Since the population diversity plays an important role in the behavior of evolution algorithm, the aim of this paper is to calculate the expected population mean and variance of IHSDE from theoretical viewpoint. Numerical results, compared with the HSDE, NGHS, show that the IHSDE method has good convergence property over a test-suite of well-known benchmark functions.

Hybrid Differential Evolution Harmony Search Algorithm for Power Economic Dispatch Problems

2013 ◽  
Vol 415 ◽  
pp. 345-348
Author(s):  
Hong Gang Xia ◽  
Qing Zhou Wang
Keyword(s):  
Differential Evolution ◽  
Recent Literature ◽  
Search Algorithm ◽  
Economic Dispatch ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
System Experiment ◽  
Mutagenic Factor ◽  
Key Parameter ◽  
Power Economic

In this paper, a hybrid differential evolution harmony search (HDEHS) algorithm was presented for solving power economic dispatch problems. In this algorithm, mutation and crossover operation instead of harmony memory consideration and pitch adjustment operation, this improved the algorithm convergence rate. Moreover, dynamically adjust the key parameter (e.g. mutagenic factor F, crossover rate CR) to balance the local and global search. Based on a 13 units power system experiment simulations, the HDEHS has demonstrated stronger convergence and stability than original harmony search (HS) algorithm and its three improved algorithms (IHS, GHS and NGHS) that reported in recent literature.

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