scholarly journals An Improved Nonlinear Grey Bernoulli Model Based on the Whale Optimization Algorithm and Its Application

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jianming Jiang ◽  
Ting Feng ◽  
Caixia Liu
Keyword(s):  
Optimization Algorithm ◽  
Structural Parameters ◽  
Optimization Methods ◽  
Whale Optimization Algorithm ◽  
Bernoulli Model ◽  
Proposed Model ◽  
Whale Optimization ◽  
Inherent Error ◽  
Applicable Range ◽  
The Difference

In order to improve the prediction performance of the existing nonlinear grey Bernoulli model and extend its applicable range, an improved nonlinear grey Bernoulli model is presented by using a grey modeling technique and optimization methods. First, the traditional whitening equation of nonlinear grey Bernoulli model is transformed into its linear formulae. Second, improved structural parameters of the model are proposed to eliminate the inherent error caused by the leap jumping from the differential equation to the difference one. As a result, an improved nonlinear grey Bernoulli model is obtained. Finally, the structural parameters of the model are calculated by the whale optimization algorithm. The numerical results of several examples show that the presented model’s prediction accuracy is higher than that of the existing models, and the proposed model is more suitable for these practical cases.

scholarly journals Methodology for Modified Whale Optimization Algorithm for Solving Appliances Scheduling Problem

2020 ◽  
Vol 76 (2) ◽  
pp. 132-143
Author(s):  
Mohd Faizal Omar ◽  
Noorhadila Mohd Bakeri ◽  
Mohd Nasrun Mohd Nawi ◽  
Norfazlirda Hairani ◽  
Khalizul Khalid
Keyword(s):  
Optimization Algorithm ◽  
Whale Optimization Algorithm ◽  
Scheduling Problem ◽  
Comfort Index ◽  
Proposed Model ◽  
Whale Optimization ◽  
Heuristic Technique ◽  
Restart Strategy ◽  
Hard Problems ◽  
Indoor Comfort

Whale Optimization Algorithm (WOA) is considered as one of the newest metaheuristic algorithms to be used for solving a type of NP-hard problems. WOA is known of having slow convergence and at the same time, the computation of the algorithm will also be increased exponentially with multiple objectives and huge request from n users. The current constraints surely limit for solving and optimizing the quality of Demand Side Management (DSM) case, such as the energy consumption of indoor comfort index parameters which consist of thermal comfort, air quality, humidity and vision comfort. To address these issues, this proposed work will firstly justify and validate the constraints related to the appliances scheduling problem, and later proposes a new model of the Cluster based Multi-Objective WOA with multiple restart strategy. In order to achieve the objectives, different initialization strategy and cluster-based approaches will be used for tuning the main parameter of WOA under different MapReduce application which helps to control exploration and exploitation, and the proposed model will be tested on a set of well-known test functions and finally, will be applied on a real case project i.e. appliances scheduling problem. It is anticipating that the approach can expedite the convergence of meta-heuristic technique with quality solution.

Load balancing strategy in software defined network by improved whale optimization algorithm

2021 ◽  
pp. 1-17
Author(s):  
Santosh Ashokrao Darade ◽  
M. Akkalakshmi
Keyword(s):  
Load Balancing ◽  
Optimization Algorithm ◽  
Time Allocation ◽  
Fog Computing ◽  
Whale Optimization Algorithm ◽  
Optimization Strategy ◽  
Mobility Support ◽  
Proposed Model ◽  
Whale Optimization ◽  
Conventional Models

From the recent study, it is observed that even though cloud computing grants the greatest performance in the case of storage, computing, and networking services, the Internet of Things (IoT) still suffers from high processing latency, awareness of location, and least mobility support. To address these issues, this paper integrates fog computing and Software-Defined Networking (SDN). Importantly, fog computing does the extension of computing and storing to the network edge that could minimize the latency along with mobility support. Further, this paper aims to incorporate a new optimization strategy to address the “Load balancing” problem in terms of latency minimization. A new Thresholded-Whale Optimization Algorithm (T-WOA) is introduced for the optimal selection of load distribution coefficient (time allocation for doing a task). Finally, the performance of the proposed model is compared with other conventional models concerning latency. The simulation results prove that the SDN based T-WOA algorithm could efficiently minimize the latency and improve the Quality of Service (QoS) in Software Defined Cloud/Fog architecture.

scholarly journals Closed-Loop Supply Chain Design and Pricing in Competitive Conditions by Considering the Variable Value of Return Products Using the Whale Optimization Algorithm

2021 ◽  
Vol 13 (12) ◽  
pp. 6663
Author(s):  
Muhammad Salman Shabbir ◽  
Ahmed Faisal Siddiqi ◽  
Lis M. Yapanto ◽  
Evgeny E. Tonkov ◽  
Andrey Leonidovich Poltarykhin ◽  
...  
Keyword(s):  
Supply Chain ◽  
Optimization Algorithm ◽  
Closed Loop ◽  
Optimal Solution ◽  
Supply Chain Design ◽  
Whale Optimization Algorithm ◽  
Special Focus ◽  
Closed Loop Supply Chain ◽  
Proposed Model ◽  
Whale Optimization

In today’s competitive environment, organizations, in addition to trying to improve their production conditions, have a special focus on their supply chain components. Cooperation between supply chain members always reduces unforeseen costs and speeds up the response to customer demand. In the new situation, according to the category of return products and their reprocessing, supply chains have found a closed-loop structure. In this research, the aim was to design a closed-loop supply chain in competitive conditions. For this purpose, the key decisions of this chain included locating retail centers, adjusting the inventory of chain members, and selling prices of final products, optimally determined. For this purpose, a nonlinear integer mathematical model is presented. One of the most important innovations of this research was considering the variable value for return products. Then, in order to solve the proposed model, a whale optimization algorithm was developed. Numerical results from the sample examples showed that the whale algorithm had a very good performance in terms of response quality and speed-of-action in finding the optimal solution to this problem.

Tracy–Singh Product and Genetic Whale Optimization Algorithm for Retrievable Data Perturbation for Privacy Preserved Data Publishing in Cloud Computing

2019 ◽  
Vol 63 (2) ◽  
pp. 239-253
Author(s):  
Thanga Revathi S ◽  
N Ramaraj ◽  
S Chithra
Keyword(s):  
Cloud Computing ◽  
Optimization Algorithm ◽  
Performance Metrics ◽  
Whale Optimization Algorithm ◽  
Data Publishing ◽  
Secret Key ◽  
Data Perturbation ◽  
Data Set ◽  
Proposed Model ◽  
Whale Optimization

Abstract This paper proposes a retrievable data perturbation model for overcoming the challenges in cloud computing. Initially, genetic whale optimization algorithm (genetic WOA) is developed by integrating genetic algorithm (GA) and WOA for generating the optimized secret key. Then, the input data and the optimized secret key are given to the Tracy–Singh product-based model for transforming the original database into perturbed database. Finally, the perturbed database can be retrieved by the client, if and only if the client knows the secret key. The performance of the proposed model is analyzed using three databases, namely, chess, T10I4D100K and retail databases from the FIMI data set based on the performance metrics, privacy and utility. Also, the proposed model is compared with the existing methods, such as Retrievable General Additive Data Perturbation, GA and WOA, for the key values 128 and 256. For the key value 128, the proposed model has the better privacy and utility of 0.18 and 0.83 while using the chess database. For the key value 256, the proposed model has the better privacy and utility of 0.18 and 0.85, using retail database. From the analysis, it can be shown that the proposed model has better privacy and utility values than the existing models.

scholarly journals Optimal Operation of Stand-Alone Microgrid Considering Emission Issues and Demand Response Program Using Whale Optimization Algorithm

2021 ◽  
Vol 13 (14) ◽  
pp. 7710
Author(s):  
Mehrdad Tahmasebi ◽  
Jagadeesh Pasupuleti ◽  
Fatemeh Mohamadian ◽  
Mohammad Shakeri ◽  
Josep M. Guerrero ◽  
...  
Keyword(s):  
Power Systems ◽  
Demand Response ◽  
Optimization Algorithm ◽  
New Technologies ◽  
Renewable Energy Sources ◽  
Optimization Methods ◽  
Optimal Operation ◽  
Whale Optimization Algorithm ◽  
Whale Optimization ◽  
Demand Response Program

Microgrids are new technologies for integrating renewable energies into power systems. Optimal operation of renewable energy sources in standalone micro-grids is an intensive task due to the continuous variation of their output powers and intermittant nature. This work addresses the optimum operation of an independent microgrid considering the demand response program (DRP). An energy management model with two different scenarios has been proposed to minimize the costs of operation and emissions. Interruptible/curtailable loads are considered in DRPs. Besides, due to the growing concern of the developing efficient optimization methods and algorithms in line with the increasing needs of microgrids, the focus of this study is on using the whale meta-heuristic algorithm for operation management of microgrids. The findings indicate that the whale optimization algorithm outperforms the other known algorithms such as imperialist competitive and genetic algorithms, as well as particle swarm optimization. Furthermore, the results show that the use of DRPS has a significant impact on the costs of operation and emissions.

scholarly journals Stance detection using improved whale optimization algorithm

2021 ◽  
Author(s):  
Avinash Chandra Pandey ◽  
Vinay Anand Tikkiwal
Keyword(s):  
Optimization Algorithm ◽  
Multilayer Perceptron ◽  
Detection Method ◽  
Whale Optimization Algorithm ◽  
Detection Methods ◽  
Fake News ◽  
Proposed Model ◽  
Whale Optimization ◽  
Textual Data ◽  
Social Media Platforms

AbstractNews is a medium that notifies people about the events that had happened worldwide. The menace of fake news on online platforms is on the rise which may lead to unwanted events. The majority of fake news is spread through social media platforms, since these platforms have a great reach. To identify the credibility of the news, various spam detection methods are generally used. In this work, a new stance detection method has been proposed for identifying the stance of fake news. The proposed stance detection method is based on the capabilities of an improved whale optimization algorithm and a multilayer perceptron. In the proposed model, weights and biases of the multilayer perceptron are updated using an improved whale optimization algorithm. The efficacy of the proposed optimized neural network has been tested on five benchmark stance detection datasets. The proposed model shows better results over all the considered datasets. The proposed approach has theoretical implications for further studies to examine the textual data. Besides, the proposed method also has practical implications for developing systems that can result conclusive reviews on any social problems.

scholarly journals Evaluation of the stability enhancement of the conventional sliding mode controller using whale optimization algorithm

2021 ◽  
Vol 21 (2) ◽  
pp. 744
Author(s):  
Aws Mahmood Abdullah ◽  
Ali Mohsin Kaittan ◽  
Mustafa Sabah Taha
Keyword(s):  
Optimization Algorithm ◽  
Sliding Mode ◽  
Optimization Methods ◽  
Whale Optimization Algorithm ◽  
Sliding Mode Controller ◽  
Whale Optimization ◽  
The Stability ◽  
Stability Enhancement ◽  
The Impact ◽  
The Relationship

The proposed work is an attempt to investigate the stability of the nonlinear system by using a whale optimization algorithm as of one of the meta-heuristic optimization methods, and this investigation was conducted on a single inverted pendulum as a study model. The evaluation measures which were used in this article values of gain and sliding surface of the conventional sliding mode controller to illustrate the extent of the system`s stability. Furthermore, control action, the relationship between error and its derivative, desired, and actual position in addition to sliding response graphically showed the feasibility of the proposed solution. The attained results illustrated considerable improvement in the settling time and minimizing the impact of chattering behavior.

Performance Evaluation of Fiber Wireless (FiWi) Access Network using Position Optimization of ONUs

2020 ◽  
Vol 10 ◽  
Author(s):  
Nitin Chouhan ◽  
Uma Rathore Bhatt ◽  
Raksha Upadhyay
Keyword(s):  
Power Consumption ◽  
Optimization Algorithm ◽  
Optical Network ◽  
Access Network ◽  
Whale Optimization Algorithm ◽  
Wireless Access ◽  
Delivery Ratio ◽  
Packet Delivery ◽  
Whale Optimization ◽  
Wireless Access Network

: Fiber Wireless Access Network is the blend of passive optical network and wireless access network. This network provides higher capacity, better flexibility, more stability and improved reliability to the users at lower cost. Network component (such as Optical Network Unit (ONU)) placement is one of the major research issues which affects the network design, performance and cost. Considering all these concerns, we implement customized Whale Optimization Algorithm (WOA) for ONU placement. Initially whale optimization algorithm is applied to get optimized position of ONUs, which is followed by reduction of number of ONUs in the network. Reduction of ONUs is done such that with fewer number of ONUs all routers present in the network can communicate. In order to ensure the performance of the network we compute the network parameters such as Packet Delivery Ratio (PDR), Total Time for Delivering the Packets in the Network (TTDPN) and percentage reduction in power consumption for the proposed algorithm. The performance of the proposed work is compared with existing algorithms (deterministic and centrally placed ONUs with predefined hops) and has been analyzed through extensive simulation. The result shows that the proposed algorithm is superior to the other algorithms in terms of minimum required ONUs and reduced power consumption in the network with almost same packet delivery ratio and total time for delivering the packets in the network. Therefore, present work is suitable for developing cost-effective FiWi network with maintained network performance.

Sign in / Sign up

Export Citation Format

Share Document