A Comprehensive Review of the Flower Pollination Algorithm for Solving Engineering Problems

Kayabekir, Ayli̇n Ece; Bekdaş, Gebrai̇l; Niğdeli, Sinan Melih; Yang, Xin‐She

doi:10.1007/978-3-319-67669-2_8

Cited by 34 publications

(8 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They also emphasized that it can be used to solve complex problems by using multipurpose functions and that it has applications in different fields like medicine, energy, structural design, and function optimization. Kayabekir et al 30 have shown that the FPA approach can be used in chemical engineering, civil engineering, energy and power systems, mechanical engineering, computer science, and in other engineering problems. They stated that the hybrid versions also show good results in different applications in combination with modified and other algorithms.…”

Section: Methodsmentioning

confidence: 99%

The forecasting of air transport passenger demands in Turkey by using novel meta‐heuristic algorithms

Korkmaz

Akgüngör

2021

Concurrency and Computation

View full text Add to dashboard Cite

The imbalance between modes of transport in our country appears as the most important problem. Therefore, in air transportation, which has a significant increasing trend, estimating the passenger demand with directly related parameters and novel algorithms is important for Turkey. In this study, different prediction models were developed applying for the first time with five different meta-heuristic algorithms which are Flower Pollination Algorithm (FPA), Artificial Bee Colony Algorithm (ABC), Crow Search Algorithm (CSA), Krill Herd Algorithm (KH), and the Butterfly Optimization Algorithm (BOA) to estimate Turkey's air transport demand. While developing the models, Fuel Price, Gross Domestic Product per Capita, Seat Capacity, and Annual Fuel Consumption were selected as the model parameters. Although each model developed using different approaches is applicable, quadratic and power models developed using CSA showed the highest performance. For this reason, future projections were based on these models. Air transport passenger demand was examined using two scenarios in a process until 2035. In the first scenario, according to model forms, Turkey's future air transport passenger demand will reach about 460 and 490 million passengers, respectively. In the second scenario, the number of passengers will reach approximately 375 and 660 million for quadratic and power models, respectively. The results of this study will contribute to the evaluation of the current investment plans and the development of strategic plans that will meet the demands. Additionally, they will help take necessary measures and introduce some necessary regulations to ensure the income and expense balance so that the efficiency of airline companies can be improved. K E Y W O R D Sair transport passenger demand, artificial bee colony algorithm, butterfly optimization algorithm, crow search algorithm, flower pollination algorithm, krill herd algorithm INTRODUCTIONAir transport is one of the most preferred modes of transport by passengers in the world and in Turkey because it provides important benefits such as safety, speed, and comfort. Air transport, which has a very important place in terms of trade and tourism development, also contributes to the social development and economic growth of countries.Air transport has shown a rapid development worldwide after the Second World War. The most important reasons for this progress are the development of aircraft production technology in the war years, the desire of the pilots to transform their skills to a commercial profit, and the desire of countries to undertake development ventures by rapidly erasing the negative traces of the war. For all these reasons, passenger and freight

show abstract

Section: Methodsmentioning

confidence: 99%

The forecasting of air transport passenger demands in Turkey by using novel meta‐heuristic algorithms

Korkmaz

Akgüngör

2021

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

“…Flower pollination is the natural process of the FPA optimization algorithm, which can solve a huge amount of optimization problems. The biotic or cross‐pollination and abiotic or self‐pollination are the two basic forms of pollination for the reproduction process 25 . In cross‐pollination, the beetles, bees, bats, and butterflies transferred the pollens into the long distance.…”

Section: Formulation Of Mgfpamentioning

confidence: 99%

Modified Global Flower Pollination Algorithm‐based image fusion for medical diagnosis using computed tomography and magnetic resonance imaging

Sumithra

Malathi²

2020

Int J Imaging Syst Tech

View full text Add to dashboard Cite

Recently, the computed tomography (CT) and magnetic resonance imaging (MRI) medical image fusion have turned into a challenging issue in the medical field. The optimal fused image is a significant component to detect the disease easily. In this research, we propose an iterative optimization approach for CT and MRI image fusion. Initially, the CT and MRI image fusion is subjected to a multilabel optimization problem. The main aim is to minimize the data and smoothness cost during image fusion. To optimize the fusion parameters, the Modified Global Flower Pollination Algorithm is proposed. Here, six sets of fusion images with different experimental analysis are evaluated in terms of different evaluation metrics such as accuracy, specificity, sensitivity, SD, structural similarity index, feature similarity index, mutual information, fusion quality, and root mean square error (RMSE). While comparing to state‐of‐art methods, the proposed fusion model provides best RMSE with higher fusion performance. Experiments on a set of MRI and CT images of medical data set show that the proposed method outperforms a very competitive performance in terms of fusion quality.

show abstract

“…The main function of a flower is to reproduce through the process of pollination. Flower pollination typically deals with transfer of pollens from male part of a plant to female part of the same or different plant for successful reproduction [23]. This transfer is carried out by pollinators like birds, insects and other animals.…”

Section: Flower Pollination Algorithmmentioning

confidence: 99%

Application of Flower Pollination Algorithm for Optimally Tuning Zeigler Nichols Parameters for PID Controller to Enhance Transient Stability through SVC

Choudhury,

Rout,

Satpathy

et al. 2019

IJEAT

View full text Add to dashboard Cite

With the evolution of electrical networks, the complexity and non linearity of modern power systems has enhanced exponentially. In order to reduce these potentially harmful oscillations, power system stabilizers (PSS) are introduced in generators of modern power systems. The PSS brings the system back to a stable and balanced state and re-establishes the pre-fault performance of the system after removal of disturbance and restoration of line. However utilization of PSS in certain cases of increased transmission line loading and other significant faults is not very effective and is rather time consuming. These days to acquire better control and quality of power, FACTS devices are being commonly used in large power systems. When SVC, a versatile FACTS device is used simultaneously with PSS, there is not only improvement in power transfer capability and controllability but also a distinct enhancement in power system stability. In order to increase the performance of the conventional PID controller of the PSS, it is tuned with a very simple and quick tuning method called Zeigler Nichols (ZN) which provides very fast elimination to disturbances in power system. However the conventional and ZN based PID controllers are confined only to linear control of power system. To further enhance the dynamic tuning process in order to obtain much faster and better transient as well as dynamic stability, a very adaptable and robust nature inspired technique of Flower Pollination Algorithm (FPA) is used to tune the ZN based PID controller. To realise the system transient stability for the conventional and proposed method, root locus and total harmonic distortion techniques have been adopted. The results ultimately reveal the efficacy and productiveness of FP based ZN- PID in successfully damping out inter area oscillations thus reducing the harmonics and improving overall stability in power systems as compared to other tuning methods

show abstract

A Comprehensive Review of the Flower Pollination Algorithm for Solving Engineering Problems

Cited by 34 publications

References 53 publications

The forecasting of air transport passenger demands in Turkey by using novel meta‐heuristic algorithms

The forecasting of air transport passenger demands in Turkey by using novel meta‐heuristic algorithms

Modified Global Flower Pollination Algorithm‐based image fusion for medical diagnosis using computed tomography and magnetic resonance imaging

Application of Flower Pollination Algorithm for Optimally Tuning Zeigler Nichols Parameters for PID Controller to Enhance Transient Stability through SVC

Contact Info

Product

Resources

About