Modification of the Bat Algorithm using fuzzy logic for dynamical parameter adaptation

Pérez, Jonathan; Valdez, Fevrier; Castillo, Oscar

doi:10.1109/cec.2015.7256926

Cited by 23 publications

(6 citation statements)

References 15 publications

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“…GSA [80] • Improved PESQ scores when compared to SPSO algorithm PSOGSA [81] • Better than GSA and SPSO BAT [78] • Better improved quality and intelligibility of enhanced speech than PSO, SPSO, APSO, GSA, PSOGSA Modified BAT [79] • Better than BAT and GA Table 7. Advantages and dis-advantages of multimodal speech enhancement methods Pros cons Goecke et.…”

Section: Discussionmentioning

confidence: 99%

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A Survey on Techniques for Enhancing Speech

Tayseer¹,

Adeel²,

Hussain³

2018

IJCA

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Speech enhancement is used in almost all the modern communication systems. It is obvious that when speech is being transmitted, its quality may degrade due to interference in the environment it is passing through. Some of the interferences that may affect the speech quality of transit include acoustic additive noise, acoustic reverberation or white Gaussian noise. This paper focuses on the techniques that appeared in the literature to enhance the signal of speech. Various methods used include wiener filter, statistical methods, subspace method, basic spectral subtraction method and spectral subtraction. In this paper authors will discuss various such methods along with their advantages and disadvantages.

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Section: Discussionmentioning

confidence: 99%

“…In 2015, an enhancement was formulated to the original BA [79]. The improvement pertains to adopting fuzzy system to dynamically adapt its parameter such as wavelength, loudness, low frequency and high frequency unlike the usual parameter tuning, which is performed based on trial and error.…”

Section: Bat Algorithmmentioning

confidence: 99%

A Survey on Techniques for Enhancing Speech

Tayseer¹,

Adeel²,

Hussain³

2018

IJCA

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“…TheoriginalBatalgorithm,sinceitsinceptionintheyear2010 (Yang,2010),hasbeenimproved in a number of ways, e.g., Kabir, Sakib, Chowdhury, & Alam (2014), Pérez, Valdez, & Castillo (2015), Zhao&Li(2016),Yilmaz&Kucuksille(2013), Mirjalili,Mirjalili&Yang(2014).However, mostoftheseimprovementsarenotrelatedtofuzzylogic(exceptPérez,Valdez,&Castillo(2015). However,theauthorsin (Pérez,Valdez,&Castillo,2015)donotpresentanysignificantdescription oftheirfuzzysystem,noteventheinputandoutputvariables.Thisiswhywehaveignoredtheir study,whichmakesourworktheonlyfuzzyimprovementoftheoriginalBATalgorithmthatdeals withthemultidimensionalcontinuousfunctionoptimizationproblem.…”

Section: Existing Algorithmsmentioning

confidence: 99%

A Novel Fuzzy Inspired Bat Algorithm for Multidimensional Function Optimization Problem

Hasan

Rahman

Jahan

et al. 2019

International Journal of Fuzzy System Applications

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This article introduces Fuzzy Inspired Bat Algorithm (FIBA), which is an improved variant of the original Bat algorithm. The novelty of FIBA lies in the integration of a fuzzy controller with the basic Bat algorithm that tries to bring balance between the degree of explorations and exploitations during the mutation operation. Another novelty of FIBA is the introduction of a step size parameter, maintained separately for every candidate solution, to customize and control the mix of explorative and exploitative operations around each candidate solution. FIBA is tested on a standard benchmark set that includes 10 complex, scalable, high dimensional functions. The results on benchmark functions reveal that FIBA can perform sufficiently well, and often better than the original Bat algorithm and another recently proposed improved Bat variant. Such improvements on the experimental results imply that the fuzzy technique adopted by FIBA might be effective on other existing problems as well, and hence demand further research and investigation.

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“…These parameters are introduced so that exploration and exploitation can be improved and better performance can be achieved. Fuzzy systems have been used in finetuning the parameters of optimization algorithms so that better performance is achieved [25][26][27]. In GSA, fuzzy systems have been used to tune GSA's gravitational constant, epsilon and alpha [20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Adaptive switching gravitational search algorithm: an attempt to improve diversity of gravitational search algorithm through its iteration strategy

Aziz¹,

Ibrahim²,

Mubin³

et al. 2017

Sādhanā

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An adaptive gravitational search algorithm (GSA) that switches between synchronous and asynchronous update is presented in this work. The proposed adaptive switching synchronous-asynchronous GSA (ASw-GSA) improves GSA through manipulation of its iteration strategy. The iteration strategy is switched from synchronous to asynchronous update and vice versa. The switching is conducted so that the population is adaptively switched between convergence and divergence. Synchronous update allows convergence, while switching to asynchronous update causes disruption to the population's convergence. The ASw-GSA agents switch their iteration strategy when the best found solution is not improved after a period of time. The period is based on a switching threshold. The threshold determines how soon is the switching, and also the frequency of switching in ASw-GSA. ASw-GSA has been comprehensively evaluated based on CEC2014's benchmark functions. The effect of the switching threshold has been studied and it is found that, in comparison with multiple and early switches, one-time switching towards the end of the search is better and substantially enhances the performance of ASw-GSA. The proposed ASw-GSA is also compared to original GSA, particle swarm optimization (PSO), genetic algorithm (GA), bat-inspired algorithm (BA) and grey wolf optimizer (GWO). The statistical analysis results show that ASw-GSA performs significantly better than GA and BA and as well as PSO, the original GSA and GWO.12

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Modification of the Bat Algorithm using fuzzy logic for dynamical parameter adaptation

Cited by 23 publications

References 15 publications

A Survey on Techniques for Enhancing Speech

A Survey on Techniques for Enhancing Speech

A Novel Fuzzy Inspired Bat Algorithm for Multidimensional Function Optimization Problem

Adaptive switching gravitational search algorithm: an attempt to improve diversity of gravitational search algorithm through its iteration strategy

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