Metaheuristic optimization is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information or limited computation capacity. This is usually applied when two or more objectives are to be optimized simultaneously.
This book is presented with two major objectives. Firstly, it features chapters by eminent researchers in the field providing the readers about the current status of the subject. Secondly, algorithm-based optimization or advanced optimization techniques, which are applied to mostly non-engineering problems, are applied to engineering problems. This book will also serve as an aid to both research and industry. Usage of these methodologies would enable the improvement in engineering and manufacturing technology and support an organization in this era of low product life cycle.
Part I: Optimization. 1. Foundations and Principles. 2. Neural Networks. 3. Fuzzy Systems. 4. Evolutionary Computation. 5. Rough Sets. Part II: Applications of Optimization. 6. Mechanical Engineering. 7. Power Control and Optimization. 8. Nanoscience and Nanoengineering. 9. Mining Engineering. 10. Signal Processing. 11. Civil Engineering. 12. Optical Engineering. 13. Bioinformatics and Biomedical Engineering. 14. Ecology and Environmental Engineering.
This book series focuses on special volumes from conferences, workshops, and symposiums, as well as volumes on topics of current interested in all aspects of science, technology, and management. The series will discuss topics such as, mathematics, chemistry, physics, materials science, nanosciences, sustainability science, computational sciences, mechanical engineering, industrial engineering, manufacturing engineering, mechatronics engineering, electrical engineering, systems engineering, biomedical engineering, management sciences, economical science, human resource management, social sciences, engineering education, etc. The books will present principles, models techniques, methodologies, and applications of science, technology and management.