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Bibliographic Information
Contents:
  1. XX Jubilee International Conference “Computational Problems of Electrical Engineering”
  2. Computational Methods in Engineering Boundary Value Problems, Volume 145

  1. Designing and Building a Miniature Aero-Engine;
  2. Specialty Grand Challenge ARTICLE.
  3. Organizers.
  4. 1st Edition.
  5. The Happiness Riddle and the Quest for a Good Life.

Targeting entering computer science and engineering undergraduates, we resourcefully integrate elements from artificial intelligence AI into introductory computing courses. In addition to comprehension of the essence of computational thinking, practical exercises in AI enable inspirations of collaborative problem solving beyond abstraction, logical reasoning, critical and analytical thinking. Problems in machine intelligence systems intrinsically connect students to algorithmic oriented computing and essential mathematical foundations.

Topic circuits

Beyond knowledge representation, AI fosters a gentle introduction to data structures and algorithms. Focused on engaging mental tool, a computer is never a necessity. Neither coding nor programming is ever required.

XX Jubilee International Conference “Computational Problems of Electrical Engineering”

Instead, students enjoy constructivist classrooms designed to always be active, flexible, and highly dynamic. Learning to learn and reflecting on cognitive experiences, they rigorously construct knowledge from collectively solving exciting puzzles, competing in strategic games, and participating in intellectual discussions.

Improved versions of these methods and strategies for parameter tuning are also presented, both of which are essential for the practical use of these important computational tools.

The second part then applies metaheuristics to problems, mainly in Civil, Mechanical, Chemical, Electrical, and Nuclear Engineering. The book is rounded out by recently developed strategies, or hybrid improved versions of existing methods, such as the Lightning Optimization Algorithm, Differential Evolution with Particle Collisions, and Ant Colony Optimization with Dispersion — state-of-the-art approaches for the application of computational intelligence to engineering problems.

The wide variety of methods and applications, as well as the original results to problems of practical engineering interest, represent the primary differentiation and distinctive quality of this book. Furthermore, it gathers contributions by authors from four countries — some of which are the original proponents of the methods presented — and 18 research centers around the globe.

His research interests include phase and chemical equilibrium, stochastic optimization methods and biomaterials.

Computational Methods in Engineering Boundary Value Problems, Volume 145

He has published papers in several high-impact journals. His research interests include nature-inspired computation, swarm intelligence, modeling, and optimization.