An Application of Genetic Algorithm for the Real-life Problems

2018 ◽  
Vol 11 (4) ◽  
pp. 178
Author(s):  
Santosh Kumar Suman ◽  
Awadhesh Kumar ◽  
Vinod Kumar Giri
2021 ◽  
pp. 254-267
Author(s):  
John Royce

Good readers evaluate as they go along, open to triggers and alarms which warn that something is not quite right, or that something has not been understood. Evaluation is a vital component of information literacy, a keystone for reading with understanding. It is also a complex, complicated process. Failure to evaluate well may prove expensive. The nature and amount of information on the Internet make evaluation skills ever more necessary. Looking at research studies in reading and in evaluation, real-life problems are suggested for teaching, modelling and discussion, to bring greater awareness to good, and to less good, readers.


1971 ◽  
Vol 18 (5) ◽  
pp. 320-321
Author(s):  
Charles Brumfiel

In the November 1970 issue of the Arithmetic Teacher there appeared my article, “Mathematical Systems and Their Relationship to the Real World.” One point I made is that mathematics provides us with a vast array of symbols and concepts to use in solving real-life problems. When we use mathematics to solve a real problem, we make certa in mental associations between mathematical symbols and real objects. I suggested that arguments sometimes arise because two persons may make different associations, mathematical symbols to real objects, and each thinks his associations are correct while the other person's are incorrect.


2020 ◽  
pp. 147807712094353
Author(s):  
Chen Chen ◽  
Ricardo Jose Chacón Vega ◽  
Tiong Lee Kong

Today, the concept of open plan is more and more widely accepted that many companies have switched to open-plan offices. Their design is an issue in the scope of space layout planning. Although there are many professional architectural layout design software in the market, in the real life, office designers seldom use these tools because their license fees are usually expensive and using them to solve an open-plan office design is like using an overly powerful and expensive tool to fix a minor problem. Therefore, manual drafting through a trial and error process is most often used. This article attempts to propose a lightweight tool to automate open-plan office layout generation using a nested genetic algorithm optimization with two layers, where the inner layer algorithm is embedded in the outer one. The result is enhanced by a local search. The main objective is to maximize space utilization by maximizing the size of the open workspace. This approach is different from its precedents, in that the location search is conducted on a grid map rather than several pre-selected candidate locations. Consequently, the generated layout design presents a less rigid workstation arrangement, inviting a casual and unrestrictive work environment. The real potential of the approach is reflected in the productivity of test fits. Automating and simplifying the generation of layouts for test fits can tremendously decrease the amount of time and resources required to generate them. The experimental case study shows that the developed approach is powerful and effective, making it a totally automated process.


2020 ◽  
Vol 4 (4) ◽  
pp. 43-47
Author(s):  
Chung Kim Thi Nguyen ◽  
Thuy Phuong Thi Huynh ◽  
Huong Xuan Dao ◽  
Lai Bich Thi Dinh ◽  
Hao Thi Mai ◽  
...  

One of the main features of STEM education is to be oriented towards practical activities and knowledge application to solve real-life problems. However, in the first step of deployment, teachers often use copied problem contexts from abroad. There are many difficulties in approaching, creating excitement and motivation for students when it is not close to their real life. The more relevant the topic to the real local context is, the more important it is to motivate students to participate and at the same time make it easy for teachers to find topics for the STEM educational model. In this study, when choosing a topic associated with a real local context, both teachers and students easily reach and achieve goals with the STEM educational model.


2001 ◽  
Vol 7 (9) ◽  
pp. 542-547
Author(s):  
Blidi Stemn ◽  
Jill Collins

As teachers who are interested in integrating non-Western mathematics activities into our lessons, we decided to teach number patterns through the Vedic (pronounced “Vaydik”) matrix. This stimulating activity, which is found in Vedic mathematics from India, investigates patterns using the numbers 1 through 9. The premise underlying the Vedic matrix is that numbers form symmetrical “shapes” (Nelson, Joseph, and Williams 1993). This approach to teaching developmentally appropriate mathematics content contrasts with the “tourist curriculum” approach in which students view multicultural mathematics activities as fun but not as essential for mathematical learning (Davidson and Kramer 1997). The tourist curriculum, according to Derman-Sparks as cited in Davidson and Kramer, trivializes the curriculum and does not address the real-life problems and experiences of different cultures.


2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Rohan Soman ◽  
Pawel Malinowski

The paper presents a novel implementation of the genetic algorithm (GA) to improve the coverage of the sensor network for damage detection using guided waves. The implementation allows depiction of sensor locations with real values which is closer to the real-life situation. Also, additional features such as proximity checks and node insertions have been implemented in order to improve the convergence of the GA as well as the thoroughness of the search space. For the traditional integer-based implementation, the size of the problem is large but finite. For the real-valued implementation, the problem size can indeed be infinitely large. So added measures have been introduced such as a two-step optimization process for the reduction in size and improved convergence.


2020 ◽  
Vol 7 (6) ◽  
pp. 30-42
Author(s):  
Victor Ekong

Soft computing, as a science of modelling systems, applies techniques such as evolutionary computing, fuzzy logic, and their hybrids to solve real life problems. Soft computing techniques are quite tolerant to incomplete, imprecise, and uncertainty when dealing with complex situations. This study adopts a hybrid of genetic algorithm and fuzzy logic in diagnosing hormonal imbalance. Hormones are chemical messengers that are vital for growth, reproduction, and are essential for human existence. Hormones may sometimes not be balanced which is a medical condition that often go unnoticed and it’s quite difficult to be diagnosed by medical experts. Hormonal imbalance has several symptoms that could also be confused for other ailments. This proposed system serves as support for medical experts to improve the precision of diagnosis of hormonal imbalance. The study further demonstrates the effective hybridization of genetic algorithm and fuzzy logic in resolving human problems.


2005 ◽  
Vol 3 (1) ◽  
pp. 50-61
Author(s):  
Bruce W. Fraser ◽  
Keyword(s):  
The Real ◽  

This paper examines the role of myth and metaphor in Logic-Based Therapy as these pertain to the development and use of philosophical antidotes. It maintains that the use of myth and metaphor in LBT can provide a primer for counselees for constructing antidotes for overcoming the real life problems for which they seek counseling.


2007 ◽  
Vol 13 (3) ◽  
pp. 164-167
Author(s):  
Germaine L. Taggart ◽  
Paul E. Adams ◽  
Ervin Eltze ◽  
John Heinrichs ◽  
James Hohman ◽  
...  

How middle school students view mathematics is a function of what they learn and how they learn it. Evidence from actual classrooms shows that a serious disconnection sometimes occurs between what students think mathematics can deliver and the real world (Burrill 1997). Students must have the opportunity to discover multiple ways to solve real-life problems through problem solving, using estimation and conjecture, and developing critical communication skills in the classroom.


1966 ◽  
Vol 60 (2) ◽  
pp. 296-305 ◽  
Author(s):  
Robert A. Dahl

An interest in the roles, functions, contributions, and dangers of leadership in popular regimes is not, of course, new among observers of political life. This has, in fact, been an ancient and enduring interest of political theorists. It is possible, however, to distinguish—at least in a rough way—two different streams of thought: one consisting of writers sympathetic to popular rule, the other consisting of anti-democratic writers.It has always been obvious to practical and theoretical observers alike that even where leaders are chosen by the people, they might convert a democracy into an oligarchy or a despotism. From ancient times, as everyone knows, anti-democratic writers have contended that popular governments were unlikely to provide leaders with wisdom and virtue, and insisted on the natural affinity between the people and the despot. These ancient challenges by anti-democratic writers were, I think, made more formidable in the course of the last hundred years by critics—sometimes ex-democrats turned authoritarian when their Utopian hopes encountered the ugly realities of political life—who, like Pareto, Michels, and Mosca, contended that popular rule is not only undesirable but also, as they tried to show, impossible. The failure of popular regimes to emerge, or, if they did emerge to survive, in Russia, Italy, Germany, and Spain could not be met merely by frequent assertions of democratic rhetoric.Fortunately, alongside this stream of anti-democratic thought and experience there has always been the other. Aware both of their critics and of the real life problems of popular rule, writers sympathetic to democracy have emphasized the need for wisdom, virtue, and self-restraint not only among the general body of citizens but among leaders as well.


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