Khaled A. Al Utaibi, Robia Arif, S. M. Sait, A. Sohail, M. Awan
{"title":"Genetic algorithm optimization to model business investment in fashion design","authors":"Khaled A. Al Utaibi, Robia Arif, S. M. Sait, A. Sohail, M. Awan","doi":"10.1080/17509653.2022.2076169","DOIUrl":null,"url":null,"abstract":"ABSTRACT In the field of marketing, business and finance, the rise and fall and the associated bifurcations can be better interpreted with the aid of differential equations and the dynamical systems. The differential equations, when Incorporated with the delayed dynamics can interpret the financial delays in more realistic manner. The parametric approximation of such differential equations can be achieved with the aid of robust optimization tool, that is termed as the genetic algorithm. In this manuscript, the concept of delay is invoked with the aid of specific factors linked with the raise and fall of investment frequency in the field of fashion industry and the corresponding stability is modeled with the aid of detailed dynamical analysis. The stability and instability criteria of delay differential equations, governing the dynamics of the investment trends is reported in this manuscript. The bifurcation and their relative criteria of occurrence is discussed. The Hopf bifurcation is important since with the aid of the bifurcation analysis, one can obtain a region of instability, and can thus invest in a safer manner by avoiding such circumstances.","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":"18 1","pages":"208 - 216"},"PeriodicalIF":3.0000,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Management Science and Engineering Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17509653.2022.2076169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT In the field of marketing, business and finance, the rise and fall and the associated bifurcations can be better interpreted with the aid of differential equations and the dynamical systems. The differential equations, when Incorporated with the delayed dynamics can interpret the financial delays in more realistic manner. The parametric approximation of such differential equations can be achieved with the aid of robust optimization tool, that is termed as the genetic algorithm. In this manuscript, the concept of delay is invoked with the aid of specific factors linked with the raise and fall of investment frequency in the field of fashion industry and the corresponding stability is modeled with the aid of detailed dynamical analysis. The stability and instability criteria of delay differential equations, governing the dynamics of the investment trends is reported in this manuscript. The bifurcation and their relative criteria of occurrence is discussed. The Hopf bifurcation is important since with the aid of the bifurcation analysis, one can obtain a region of instability, and can thus invest in a safer manner by avoiding such circumstances.
期刊介绍:
International Journal of Management Science and Engineering Management (IJMSEM) is a peer-reviewed quarterly journal that provides an international forum for researchers and practitioners of management science and engineering management. The journal focuses on identifying problems in the field, and using innovative management theories and new management methods to provide solutions. IJMSEM is committed to providing a platform for researchers and practitioners of management science and engineering management to share experiences and communicate ideas. Articles published in IJMSEM contain fresh information and approaches. They provide key information that will contribute to new scientific inquiries and improve competency, efficiency, and productivity in the field. IJMSEM focuses on the following: 1. identifying Management Science problems in engineering; 2. using management theory and methods to solve above problems innovatively and effectively; 3. developing new management theory and method to the newly emerged management issues in engineering; IJMSEM prefers papers with practical background, clear problem description, understandable physical and mathematical model, physical model with practical significance and theoretical framework, operable algorithm and successful practical applications. IJMSEM also takes into account management papers of original contributions in one or several aspects of these elements.