Global Dynamic Harmony Search algorithm: GDHS

Khalili, Mohammad; Kharrat, Riyaz; Salahshoor, Karim; Sefat, Morteza Haghighat

doi:10.1016/j.amc.2013.11.058

Cited by 51 publications

(15 citation statements)

References 12 publications

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“…Omran and Mahdavi [ 14 ] proposed a global best HS algorithm denoted as global harmony search (GHS) by borrowing the idea from swarm intelligence. Khalili et al [ 15 ] proposed global dynamic harmony search (GDHS) algorithm for solving continuous optimization problem.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Dynamic Harmony Search with Polynomial Mutation Algorithm for Valve‐Point Economic Load Dispatch

Muthusamy¹,

Raja²

2015

The Scientific World Journal

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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.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Dynamic Harmony Search with Polynomial Mutation Algorithm for Valve‐Point Economic Load Dispatch

Muthusamy¹,

Raja²

2015

The Scientific World Journal

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“…Pitch adjustment band width ( BW ) and pitch adjustment rate ( PAR ) play a vital role in deciding the convergence speed of the algorithm (Figure D). The bandwidth and PAR are varied in an exponentially decreased manner and linearly increased manner, respectively . The necessary equations are as follows:

k_{i, d} = k_{i, d} + {rand}^{*} italicBW

k_{i, d} = k_{i, d} - {rand}^{*} italicBW

italicPAR ((), t) = italicPAR ((), t - 1) + ((), \frac{{italicPAR}_{\max} - {italicPAR}_{\min}}{G_{\max}}) * t

italicBW ((), t) = {BW}_{\max} + exp ((), \frac{log (\frac{{italicBW}_{\min}}{{italicBW}_{\max}})}{G_{\max}}) * t

where, t is the current number of iterations from maximum number of generations ( G max ).…”

Section: Optimized Controller Design For Multi‐dg Environmentmentioning

confidence: 99%

“…The randomization parameter "δ" (in Equation 34) controls the searching ability of the fireflies. A large value of δ facilitates global search similar to PSO technique, while a small δ is responsible for local search.…”

Section: Adaptive Randomization Parameter (δ)mentioning

confidence: 99%

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A new hybrid firefly optimized P-Q and V-f controller coordination for PV-DG-based microgrid stabilization

Satapathy

Dhar

Dash

2018

Int Trans Electr Energ Syst

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Summary In this paper, optimized controller design for multiple distributed generators (DGs) based microgrid network is discussed, where IEEE 1547 standards are followed for primary photovoltaic DG. According to standards, the primary photovoltaic/auxiliary battery energy storage system is integrated through voltage source converter's feedback controller, with operational modes: active reactive (P − Q) power control for grid synchronized operation and voltage frequency (V‐f) droop control for islanded microgrid. To overcome the inadequacy of conventional controller tuning in a multiple DGs‐based weak microgrid architecture, a new mutation based improved firefly algorithm is proposed in this paper. The worst stability operation is considered for voltage source converter's P‐Q and V‐f coordination during insufficiency in battery energy storage system management. The effectiveness of the proposed technique is validated on MATLAB Editor/ Simulink platform. Further, a hardware‐in‐loop test bench validation is achieved by TMS320 C6713 based DSP Starter Kit and embedded MATLAB coder.

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“…Parameters are set as follows: ingen = 100, 0 = 0.3, = 5, visual = 1.5, 1 = 0.3, 2 = 0.5, 1 = 0.6, 2 = 0.4, 1 = 0.6, 2 = 0.4, max gen = 100000, and = 30; for other parameters, refer to [24,30,32].…”

Section: Verification Tests By Benchmarkmentioning

confidence: 99%

A New Approach to Weapon-Target Assignment in Cooperative Air Combat

Chang

Kou

et al. 2017

Mathematical Problems in Engineering

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A new approach to solving weapon-target assignment (WTA) problem is proposed in this paper. Firstly, relative superiority that lays the foundation for assignment is calculated based on the combat power energy of the fighters. Based on the relative superiority, WTA problem is formulated. Afterwards, a hybrid algorithm consisting of improved artificial fish swarm algorithm (AFSA) and improved harmony search (HS) is introduced and furthermore applied to solve the assignment formulation. Finally, the proposed approach is validated by eight representative benchmark functions and two concrete cooperative air combat examples. The results show that the approach proposed in this paper achieves good performances in solving WTA problem in cooperative air combat.

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Global Dynamic Harmony Search algorithm: GDHS

Cited by 51 publications

References 12 publications

[Retracted] Dynamic Harmony Search with Polynomial Mutation Algorithm for Valve‐Point Economic Load Dispatch

[Retracted] Dynamic Harmony Search with Polynomial Mutation Algorithm for Valve‐Point Economic Load Dispatch

A new hybrid firefly optimized P-Q and V-f controller coordination for PV-DG-based microgrid stabilization

A New Approach to Weapon-Target Assignment in Cooperative Air Combat

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