Creating efficient, conflict-free class schedules is a critical challenge faced by universities around the world. From managing room capacity to aligning faculty schedules, the complexity grows with each variable. Enter the Sand Cat Swarm Optimization Algorithm, a nature-inspired optimization technique designed to solve such scheduling problems. This book, "Applied Sand Cat Swarm Optimization For TimeTable Generation in Matlab/ Octave" provides a detailed, practical guide to leveraging this powerful algorithm for class schedule generation. With easy-to-understand explanations and real-world applications, this book equips you to tackle scheduling dilemmas head-on. Inside, you'll find: 1. A comprehensive introduction to the Sand Cat Swarm Optimization Algorithm and how it works. 2. A step-by-step implementation guide using MATLAB and Octave 3. A comprehensive case study on creating a university class schedule, solving common scheduling constraints. 4. Ready-to-use code examples Whether you're an academic professional, researcher, or student, this book offers you the power to use matlab or octave to optimize your schedule effectively. Harness the power of crowd intelligence and learn how to implement one of the most advanced scheduling algorithms available today. Streamline your scheduling process and improve academic planning efficiency with MATLAB and Octave.

Creating efficient, conflict-free class schedules is a critical challenge faced by universities around the world. From managing room capacity to aligning faculty schedules, the complexity grows with each variable. Enter the Tunicate Swarm Algorithm, a nature-inspired optimization technique designed to solve such scheduling problems. This book, "Applied Tunicate Swarm Algorithm for Timetable Generation in MATLAB/Octave," provides a detailed, practical guide to leveraging this powerful algorithm for class schedule generation. With easy-to-understand explanations and real-world applications, this book equips you to tackle scheduling dilemmas head-on. Inside, you'll find: 1. A comprehensive introduction to the Tunicate Swarm Algorithm and how it works. 2. A step-by-step implementation guide using MATLAB and Octave 3. A comprehensive case study on creating a university class schedule, solving common scheduling constraints. 4. Ready-to-use code examples Whether you're an academic professional, researcher, or student, this book offers you the power to use matlab or octave to optimize your schedule effectively. Harness the power of crowd intelligence and learn how to implement one of the most advanced scheduling algorithms available today. Streamline your scheduling process and improve academic planning efficiency with MATLAB and Octave.

Advances in Geophysics, Volume 61 - Machine Learning and Artificial Intelligence in Geosciences, the latest release in this highly-respected publication in the field of geophysics, contains new chapters on a variety of topics, including a historical review on the development of machine learning, machine learning to investigate fault rupture on various scales, a review on machine learning techniques to describe fractured media, signal augmentation to improve the generalization of deep neural networks, deep generator priors for Bayesian seismic inversion, as well as a review on homogenization for seismology, and more. - Provides high-level reviews of the latest innovations in geophysics - Written by recognized experts in the field - Presents an essential publication for researchers in all fields of geophysics

Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions. Mixed-integer nonlinear programming (MINLP) problems combine the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex functions and discrete variables. MINLP is one of the most flexible modeling paradigms available for optimization; but because its scope is so broad, in the most general cases it is hopelessly intractable. Nonetheless, an expanding body of researchers and practitioners — including chemical engineers, operations researchers, industrial engineers, mechanical engineers, economists, statisticians, computer scientists, operations managers, and mathematical programmers — are interested in solving large-scale MINLP instances.

This book constitutes the refereed proceedings of the 6th International Symposium on Advances in Signal Processing and Intelligent Recognition Systems, SIRS 2020, held in Chennai, India, in October 2020. Due to the COVID-19 pandemic the conference was held online. The 22 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 50 submissions. The papers cover wide research fields including information retrieval, human-computer interaction (HCI), information extraction, speech recognition.

This book presents the proceedings of the 8th International Workshop on Soft Computing Applications, SOFA 2018, held on 13–15 September 2018 in Arad, Romania. The workshop was organized by Aurel Vlaicu University of Arad, in conjunction with the Institute of Computer Science, Iasi Branch of the Romanian Academy, IEEE Romanian Section, Romanian Society of Control Engineering and Technical Informatics – Arad Section, General Association of Engineers in Romania – Arad Section and BTM Resources Arad. The papers included in these proceedings, published post-conference, cover the research including Knowledge-Based Technologies for Web Applications, Cloud Computing, Security Algorithms and Computer Networks, Business Process Management, Computational Intelligence in Education and Modelling and Applications in Textiles and many other areas related to the Soft Computing. The book is directed to professors, researchers, and graduate students in area of soft computing techniques and applications.

This two-volume book focuses on both theory and applications in the broad areas of communication technology, computer science and information security. It brings together contributions from scientists, professors, scholars and students, and presents essential information on computing, networking, and informatics. It also discusses the practical challenges encountered and the solutions used to overcome them, the goal being to promote the “translation” of basic research into applied research, and of applied research into practice. The works presented here will also demonstrate the importance of basic scientific research in a range of fields.