Intelligent Optimization: Principles, Algorithms and Applications

This textbook provides a comprehensive exploration of intelligent optimization principles, algorithms, and applications, making it suitable for undergraduate and postgraduate artificial intelligence courses. It covers advanced topics in evolutionary computation, including multi-objective optimization, dynamic optimization, constrained optimization, robust optimization, and expensive optimization. The book employs an accessible writing style with extensive pseudo-code and diagrams, and includes diverse real-world application examples across various domains. It introduces the Open-source Framework for Evolutionary Computation platform (OFEC) as a user-friendly toolkit for implementing, evaluating, visualizing, and benchmarking optimization algorithms, enabling readers to gain hands-on experience and apply intelligent techniques to optimization problems.

Format: Paperback / softback
Length: 361 pages
Publication date: 11 July 2024
Publisher: Springer Verlag, Singapore

This comprehensive textbook delves into the fundamental principles, algorithms, and applications of intelligent optimization, making it an invaluable resource for undergraduate and postgraduate artificial intelligence courses. It also serves as a valuable reference for active researchers and individuals engaged in self-study. The book covers advanced topics within the evolutionary computation field, including multi-objective optimization, dynamic optimization, constrained optimization, robust optimization, expensive optimization, and other pivotal scientific studies related to optimization. Designed to be approachable and inclusive, the textbook employs an accessible writing style, complemented by extensive pseudo-code and diagrams that vividly illustrate the mechanisms, principles, and algorithms of optimization. With a focus on practicality, the book provides diverse real-world application examples spanning engineering, games, logistics, and other domains, enabling readers to confidently apply intelligent techniques to actual optimization problems. Recognizing the importance of hands-on experience, the textbook introduces the Open-source Framework for Evolutionary Computation platform (OFEC) as a user-friendly tool. This platform serves as a comprehensive toolkit for implementing, evaluating, visualizing, and benchmarking various optimization algorithms. The book guides readers on maximizing the utility of OFEC for conducting experiments and analyses in the field of evolutionary computation, facilitating a deeper understanding of intelligent optimization through practical application.

Weight: 592g
Dimension: 155 x 234 x 29 (mm)
ISBN-13: 9789819732852
Edition number: 2024 ed.