Improved Method Based on Type-2 Fuzzy Logic for the Adaptive Harmony Search Algorithm

2018 ◽  
pp. 29-37 ◽  
Author(s):  
Cinthia Peraza ◽  
Fevrier Valdez ◽  
Oscar Castillo
Keyword(s):  
Fuzzy Logic ◽  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Improved Method

scholarly journals Fuzzy Dynamic Parameter Adaptation in the Harmony Search Algorithm for the Optimization of the Ball and Beam Controller

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Cinthia Peraza ◽  
Fevrier Valdez ◽  
Juan R. Castro ◽  
Oscar Castillo
Keyword(s):  
Fuzzy Systems ◽  
Search Algorithm ◽  
Harmony Search ◽  
Dynamic Parameter ◽  
Harmony Search Algorithm ◽  
Parameter Adaptation ◽  
Error Metrics ◽  
Interval Type ◽  
Following Error

This paper presents a method for dynamic parameter adaptation in the harmony search algorithm (HS) based on fuzzy logic. The adaptation is performed using Type 1 (FHS), interval Type 2 (IT2FHS), and generalized Type 2 (GT2FHS) fuzzy systems as the number of improvisations or iterations advances, achieving a better intensification and diversification. The main contribution of this work is the dynamic parameter adaptation using different types of fuzzy systems in the harmony search algorithm applied to optimization of the membership functions for a benchmark control problem; in this case it is focused on the ball and beam controller. Experiments are presented with the HS, FHS, IT2FHS, and GT2FHS with noise (uniform random number) and without noise for the controller, and the following error metrics are obtained: ITAE, ITSE, IAE, ISE, and RMSE, to validate the efficacy of the proposed methods.

scholarly journals Hybrid harmony search algorithm & fuzzy logic for solving unit commitment problem with wind power uncertainty

2018 ◽  
Vol 7 (1.9) ◽  
pp. 75
Author(s):  
Mary P. Varghese ◽  
A. Amudha
Keyword(s):  
Fuzzy Logic ◽  
Power Output ◽  
Unit Commitment ◽  
Search Algorithm ◽  
Harmony Search ◽  
Electric Utility ◽  
Harmony Search Algorithm ◽  
Unit Commitment Problem ◽  
Commitment Problem ◽  
Logic Unit

This work spotlights on fuzzy logic and hybrid harmony search algorithm based framework for solving the unit commitment problem in any electric utility. Here, the selection of fuzzy logic is because of its qualitative representation ability with respect to input attributes, cost-effective operating agenda and all the calculations of feasible schedules. A three-unit system is assumed here, to compute the above-mentioned aspects. In recent days, the meta-heuristic optimization algorithms are constructed because of its zero utilization and storage for making the search procedureas effective. Hybrid harmony search algorithm searches whether the load demand is met or not. If it is not satisfied an error is developed. The error and change in error is fed input to fuzzy logic unit. The output of fuzzy logic unit is given to a breaker. The breaker will cut off the system is the power output is more and if the power output is less than the required value additional power is fed to the system. Constant ouput power is thus maintained. To test and prove that the proposed HHS-FLresults a superior optimization, performance by analyzing the wind speed in Coimbatore region. The experimental results demonstrated that the proposed model is efficient even if the windgets changed and all simulations was performed with MATLAB.

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