B V Babu – författare

The evolution of technology in education can no longer be comprehended simply by looking at the use of computers and networks. Technology is not just a supplementary tool to the conventional method of education. Education has to undergo a complete transformation with technological innovations for the sustainability of quality education as a system and not in silos. Sustainability in education also necessitates a more workable strategy to realize socially viable educational policies and practices which can focus more on personalized learning. Due to various factors like emerging technologies; changing needs of the learners; policy reforms for enhancing employability; and emphasis on uninterrupted education as in the case of the pandemic scenario of COVID-19, there is a need to steer a major transition in the education system. The education system has to be real and proficient for it to be instrumental to nurture an informed and knowledgeable society.

This book on technological innovations in higher education is organized, largely, based on the diversity of higher education ecosystems that are supported by technological innovations. Various author viewpoints give insights into the full potential of technology as well as its risks in interrelated areas of higher education to work towards sustainability of value-based quality education across the globe.

The evolution of technology in education can no longer be comprehended simply by looking at the use of computers and networks. Technology is not just a supplementary tool to the conventional method of education. Education has to undergo a complete transformation with technological innovations for the sustainability of quality education as a system and not in silos. Sustainability in education also necessitates a more workable strategy to realize socially viable educational policies and practices which can focus more on personalized learning. Due to various factors like emerging technologies; changing needs of the learners; policy reforms for enhancing employability; and emphasis on uninterrupted education as in the case of the pandemic scenario of COVID-19, there is a need to steer a major transition in the education system. The education system has to be real and proficient for it to be instrumental to nurture an informed and knowledgeable society.

This book on technological innovations in higher education is organized, largely, based on the diversity of higher education ecosystems that are supported by technological innovations. Various author viewpoints give insights into the full potential of technology as well as its risks in interrelated areas of higher education to work towards sustainability of value-based quality education across the globe.

Edited by professionals with years of experience, this book provides an introduction to the theory of evolutionary algorithms and single- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world applications. Covering both the theory and applications of evolutionary computation, the book offers exhaustive coverage of several topics on nontraditional evolutionary techniques, details working principles of new and popular evolutionary algorithms, and discusses case studies on both scientific and real-world applications of optimization

Edited by professionals with years of experience, this book provides an introduction to the theory of evolutionary algorithms and single- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world applications. Covering both the theory and applications of evolutionary computation, the book offers exhaustive coverage of several topics on nontraditional evolutionary techniques, details working principles of new and popular evolutionary algorithms, and discusses case studies on both scientific and real-world applications of optimization

Presently, general-purpose optimization techniques such as Simulated Annealing, and Genetic Algorithms, have become standard optimization techniques. Concerted research efforts have been made recently in order to invent novel optimization techniques for solving real life problems, which have the attributes of memory update and population-based search solutions. The book describes a variety of these novel optimization techniques which in most cases outperform the standard optimization techniques in many application areas. New Optimization Techniques in Engineering reports applications and results of the novel optimization techniques considering a multitude of practical problems in the different engineering disciplines – presenting both the background of the subject area and the techniques for solving the problems.