Bøger af Changhe Li

This textbook comprehensively explores the foundational principles, algorithms, and applications of intelligent optimization, making it an ideal resource for both undergraduate and postgraduate artificial intelligence courses. It remains equally valuable for active researchers and individuals engaged in self-study. Serving as a significant reference, it delves into 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, this textbook equips readers with the essential mathematical background necessary for understanding intelligent optimization. It 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, this textbook 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.

This book discusses the thermodynamic mechanism of MQL grinding with nano-biological lubricant from the force, heat, surface integrity, and micro-morphology.It makes up the fatal defect of the lack of heat transfer capability of traditional MQL grinding. The machining accuracy, surface quality, especially surface integrity of the workpiece, are significantly improved; at the same time, the service life of the grinding wheel is increased and the working environment is improved.The general scope of the book¿s content is the effects of MQL grinding with nano-bio-lubricant on grinding force, thermal mechanism, and surface.It provides a new method of sustainable green grinding for environment-friendly, resource-saving, and energy-efficient utilization and solves the technical bottleneck of the insufficient capacity in MQL heat transfer.

Provides emerging research exploring the theoretical and practical aspects of nanofluid lubrication and its application within grinding flow and green manufacturing. The book features coverage on a broad range of topics, including airflow distribution, morphology analysis, and lubrication performance.