Performance evaluation and analysis of population-based metaheuristics for denoising of biomedical images

Vineeth, P.b; M., Vinaya Babu; Suresh, Shilpa

doi:10.1007/s42600-021-00125-8

Cited by 6 publications

(2 citation statements)

References 41 publications

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“…Additionally, CSA demonstrated an advantage over other algorithms by requiring fewer tuning parameters. Since the creation of CSA, scholars have applied to a wide range of engineering practices, including electricity resource scheduling (Tang et al ., 2021), medical image processing (Vineeth et al ., 2021) and wind power prediction (Li et al ., 2021). However, few scholars have applied CSA in the field of electric vehicle routing problems.…”

Section: Literature Reviewmentioning

confidence: 99%

An electric vehicle routing model with charging stations consideration for sustainable logistics

Li,

Lim,

Xiong

et al. 2023

IMDS

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PurposeRecently, electric vehicles have been widely used in the cold chain logistics sector to reduce the effects of excessive energy consumption and to support environmental friendliness. Considering the limited battery capacity of electric vehicles, it is vital to optimize battery charging during the distribution process.Design/methodology/approachThis study establishes an electric vehicle routing model for cold chain logistics with charging stations, which will integrate multiple distribution centers to achieve sustainable logistics. The suggested optimization model aimed at minimizing the overall cost of cold chain logistics, which incorporates fixed, damage, refrigeration, penalty, queuing, energy and carbon emission costs. In addition, the proposed model takes into accounts factors such as time-varying speed, time-varying electricity price, energy consumption and queuing at the charging station. In the proposed model, a hybrid crow search algorithm (CSA), which combines opposition-based learning (OBL) and taboo search (TS), is developed for optimization purposes. To evaluate the model, algorithms and model experiments are conducted based on a real case in Chongqing, China.FindingsThe result of algorithm experiments illustrate that hybrid CSA is effective in terms of both solution quality and speed compared to genetic algorithm (GA) and particle swarm optimization (PSO). In addition, the model experiments highlight the benefits of joint distribution over individual distribution in reducing costs and carbon emissions.Research limitations/implicationsThe optimization model of cold chain logistics routes based on electric vehicles provides a reference for managers to develop distribution plans, which contributes to the development of sustainable logistics.Originality/valueIn prior studies, many scholars have conducted related research on the subject of cold chain logistics vehicle routing problems and electric vehicle routing problems separately, but few have merged the above two subjects. In response, this study innovatively designs an electric vehicle routing model for cold chain logistics with consideration of time-varying speeds, time-varying electricity prices, energy consumption and queues at charging stations to make it consistent with the real world.

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Section: Literature Reviewmentioning

confidence: 99%

An electric vehicle routing model with charging stations consideration for sustainable logistics

Li,

Lim,

Xiong

et al. 2023

IMDS

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“…They encompass various branches of engineering, including mechanical engineering (automotive [ 20 , 21 ], aerospace [ 22 ], fluid dynamics [ 23 ], thermal engineering [ 24 ], automation [ 25 ], robotics [ 26 ], mechatronics [ 27 ], MEMS [ 28 , 29 ], etc. ), electrical engineering [ 30 ] (including power engineering [ 31 ], electronics [ 32 ], microelectronics [ 33 ] and nanoelectronics [ 33 ], control engineering [ 34 ], renewable energy [ 35 ], biomedical engineering [ 36 ], telecommunications [ 36 ], signal processing [ 37 ]), geometrical optics [ 38 ], photonics [ 39 ], nanophotonics and nanoplasmonics [ 40 ], image processing [ 41 ] including pattern recognition [ 42 ], computing [ 30 ], [ 43 ], networking (computer networks [ 44 ] including Internet and Intranet [ 45 ], social networks [ 46 ], networks on a chip [ 47 ], optical networks [ 48 ], cellular (mobile) networks [ 49 ], wireless sensor networks [ 50 ], Internet of things [ 51 ], etc. ), data clustering and mining [ 52 ], civil engineering [ 53 , 54 ], architectural design [ 55 ], urban engineering [ 56 ], smart cities [ 57 ], traffic control and engineering [ 58 ], biomedicine and healthcare […”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Review of Bio-Inspired Optimization Algorithms Including Applications in Microelectronics and Nanophotonics

Jakšić

Devi²,

Jakšić

et al. 2023

Biomimetics

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The application of artificial intelligence in everyday life is becoming all-pervasive and unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired algorithms for multiparameter optimization, which find their use in a large number of areas. Novel methods and advances are being published at an accelerated pace. Because of that, in spite of the fact that there are a lot of surveys and reviews in the field, they quickly become dated. Thus, it is of importance to keep pace with the current developments. In this review, we first consider a possible classification of bio-inspired multiparameter optimization methods because papers dedicated to that area are relatively scarce and often contradictory. We proceed by describing in some detail some more prominent approaches, as well as those most recently published. Finally, we consider the use of biomimetic algorithms in two related wide fields, namely microelectronics (including circuit design optimization) and nanophotonics (including inverse design of structures such as photonic crystals, nanoplasmonic configurations and metamaterials). We attempted to keep this broad survey self-contained so it can be of use not only to scholars in the related fields, but also to all those interested in the latest developments in this attractive area.

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Metaheuristics-Based Optimization of TMD Parameters in Time History Domain

Yücel

Bekdaş

Niğdeli

2022

Optimization of Tuned Mass Dampers

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Performance evaluation and analysis of population-based metaheuristics for denoising of biomedical images

Cited by 6 publications

References 41 publications

An electric vehicle routing model with charging stations consideration for sustainable logistics

An electric vehicle routing model with charging stations consideration for sustainable logistics

A Comprehensive Review of Bio-Inspired Optimization Algorithms Including Applications in Microelectronics and Nanophotonics

Metaheuristics-Based Optimization of TMD Parameters in Time History Domain

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