scholarly journals Retracted: Dynamic Harmony Search with Polynomial Mutation Algorithm for Valve-Point Economic Load Dispatch

2016 ◽  
Vol 2016 ◽  
pp. 1-1
Keyword(s):  
Harmony Search ◽  
Economic Load Dispatch ◽  
Polynomial Mutation

scholarly journals Dynamic Harmony Search with Polynomial Mutation Algorithm for Valve-Point Economic Load Dispatch

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
M. Karthikeyan ◽  
T. Sree Ranga Raja
Keyword(s):  
Computational Intelligence ◽  
Harmony Search ◽  
Inequality Constraints ◽  
Search Space ◽  
Economic Load Dispatch ◽  
Exploration And Exploitation ◽  
Equality And Inequality Constraints ◽  
Polynomial Mutation ◽  
And Control ◽  
Harmony Memory

Economic load dispatch (ELD) problem is an important issue in the operation and control of modern control system. The ELD problem is complex and nonlinear with equality and inequality constraints which makes it hard to be efficiently solved. This paper presents a new modification of harmony search (HS) algorithm named as dynamic harmony search with polynomial mutation (DHSPM) algorithm to solve ORPD problem. In DHSPM algorithm the key parameters of HS algorithm like harmony memory considering rate (HMCR) and pitch adjusting rate (PAR) are changed dynamically and there is no need to predefine these parameters. Additionally polynomial mutation is inserted in the updating step of HS algorithm to favor exploration and exploitation of the search space. The DHSPM algorithm is tested with three power system cases consisting of 3, 13, and 40 thermal units. The computational results show that the DHSPM algorithm is more effective in finding better solutions than other computational intelligence based methods.

scholarly journals A Memetic Approach for Improving Minimum Cost of Economic Load Dispatch Problems

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Jinho Kim ◽  
Chang Seob Kim ◽  
Zong Woo Geem
Keyword(s):  
Electrical Power ◽  
Harmony Search ◽  
Minimum Cost ◽  
Bench Mark ◽  
Economic Load Dispatch ◽  
Electrical Power System ◽  
Gradient Based ◽  
Combination Approach ◽  
Single Approach ◽  
Algorithm Scheme

Economic load dispatch problem is a popular optimization problem in electrical power system field, which has been so far tackled by various mathematical and metaheuristic approaches including Lagrangian relaxation, branch and bound method, genetic algorithm, tabu search, particle swarm optimization, harmony search, and Taguchi method. On top of these techniques, this study proposes a novel memetic algorithm scheme combining metaheuristic algorithm and gradient-based technique to find better solutions for an economic load dispatch problem with valve-point loading. Because metaheuristic algorithms have the strength in global search and gradient-based techniques have the strength in local search, the combination approach obtains better results than those of any single approach. A bench-mark example of 40 generating-unit economic load dispatch problem demonstrates that the memetic approach can further improve the existing best solutions from the literature.

Harmony Search Algorithm with Opposition-Based Learning for Power System Economic Load Dispatch

2014 ◽  
Vol 1065-1069 ◽  
pp. 3434-3437
Author(s):  
Yi Ning Zhang
Keyword(s):  
Power System ◽  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Local Optimum ◽  
Economic Load Dispatch ◽  
Opposition Based Learning ◽  
Learning Techniques ◽  
Performance Of Algorithm ◽  
Better Than

A harmony search algorithm with opposition-based learning techniques (HS-OBL) to solve power system economic load dispatch has been presented. The proposed algorithm integrates the opposition-based learning operation with the improvisation process to prevent the HS-OBL algorithm from being trapped into the local optimum effectively. Besides, a new adjusting strategy is designed to dynamic adjust pitch adjusting rate (PAR) and harmony memory consideration rate (HMCR), which is to further improve the performance of algorithm. The HS-OBL is employed to solve 6 units and 13 units power system, the numerical results indicate that the HS-OBL has perform much better than harmony search(HS) algorithm and other improved algorithms that reported in recent literature.

Tournament-based harmony search algorithm for non-convex economic load dispatch problem

2016 ◽  
Vol 47 ◽  
pp. 449-459 ◽  
Author(s):  
Mohammed Azmi Al-Betar ◽  
Mohammed A. Awadallah ◽  
Ahamad Tajudin Khader ◽  
Asaju La'aro Bolaji
Keyword(s):  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Economic Load Dispatch

Economic Load Dispatch Using Hybrid Swarm Intelligence Based Harmony Search Algorithm

2011 ◽  
Vol 39 (8) ◽  
pp. 751-767 ◽  
Author(s):  
V. Ravikumar Pandi ◽  
B. K. Panigrahi ◽  
Ramesh C. Bansal ◽  
Swagatam Das ◽  
Ankita Mohapatra
Keyword(s):  
Swarm Intelligence ◽  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Economic Load Dispatch ◽  
Hybrid Swarm
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