2013
DOI: 10.1016/j.engappai.2012.08.005
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Performance evaluation of an improved harmony search algorithm for numerical optimization: Melody Search (MS)

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Cited by 60 publications
(20 citation statements)
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“…Moreover, the application of IHBV model in Ajichai basin with 19 parameters and with a calibration period of 3287 days, takes only 284 seconds for 3500 iterations. Although the computational time in these models is not too long, it is still possible to reduce it significantly using other state-of-the-art optimization methods such as Surrogate-Enhanced Evolutionary Annealing Simplex Algorithm (SEEAS) or Melody Search (MeS) algorithms [65,66].…”
Section: Comparison Of Resultsmentioning
confidence: 99%
“…Moreover, the application of IHBV model in Ajichai basin with 19 parameters and with a calibration period of 3287 days, takes only 284 seconds for 3500 iterations. Although the computational time in these models is not too long, it is still possible to reduce it significantly using other state-of-the-art optimization methods such as Surrogate-Enhanced Evolutionary Annealing Simplex Algorithm (SEEAS) or Melody Search (MeS) algorithms [65,66].…”
Section: Comparison Of Resultsmentioning
confidence: 99%
“…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: ki,d=ki,d+rand*italicBW ki,d=ki,drand*italicBW italicPAR()t=italicPAR()t1+()italicPARmaxitalicPARminGmax*t italicBW()t=BWmax+exp()logitalicBWminitalicBWmaxGmax*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 bandwidth and PAR are varied in an exponentially decreased manner and linearly increased manner, respectively. 33,34 The necessary equations are as follows:…”
Section: Mutation Operation For Poor Solutionsmentioning
confidence: 99%
“…A case study taken from the literature has been investigated with the hybrid algorithm and the results have been compared with the findings of Quantum behaved Particle Swarm (QPSO) [40,41], Melody Search (MS) [42], Artificial Cooperative Search (ACS) [43], Backtracking Search (BS) [44], Bat algorithm (BAT) [45], Cuckoo Search (CS) [46], Intelligent Tuned Harmony Search (ITHS) [47] and literature studies. Comparisons reveal that TLBO-DE is superior to all compared algorithms in terms of solution accuracy and efficiency.…”
Section: Introductionmentioning
confidence: 99%