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OverviewFull Product DetailsAuthor: Seyedali Mirjalili (Center for Artificial Intelligence Research and Optimization, Torrens University Australia University Research and Innovation Center, Obuda University, 1034 Budapest, Hungary) , Seyedali Mirjalili (Center for Artificial Intelligence Research and Optimization, Torrens University Australia University Research and Innovation Center, Obuda University, 1034 Budapest, Hungary) , Amir Hossein Gandomi (University of Technology Sydney)Publisher: Elsevier Science & Technology Imprint: Academic Press Inc Weight: 0.930kg ISBN: 9780323917810ISBN 10: 032391781 Pages: 466 Publication Date: 02 February 2023 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of Contents1. Chaos theory in metaheuristcs 2. A New Metaheuristic Approach for Solving Multi-Objective Optimization Problems 3. A Brief Overview of Physics-inspired Metaheuristic Optimization Techniques 4. Application of evolutionary computation techniques for developing optimal response actions against water distribution networks contamination 5. Metaheuristic Technique for Solving Fuzzy Nonlinear Equations 6. Meta-heuristics in Network Intrusion Detection 7. Meta-heuristics in text clustring 8. Application of Metaheuristic Algorithms for Optimal Design of Sewer Collection Systems 9. Meta-heuristics for optimization of structures 10. Meta-heuristics for solving wind turbine placement problem 11. Meta-heuristics in industrial development and its future perspective 12. Levy Flight and Chaos Theory Based Gravitational Search Algorithm for Greyscale Image Thresholding 13. Meta-heuristics for Optimal Feature Selection in High-Dimensional Datasets 14. The Optimal Deployment of Sensors for Leakage Detection in Water Distribution Systems using meta-heuristics 15. Meta-Heuristics Based Automatic Generation Controller In Interconnected Power Systems With Renewable Energy Sources 16. Swarm Intelligence based Route optimization in Mobile Ad-hoc Network 17. The promise of metaheuristic algorithms for efficient operation of a highly complex power system: a comparative assessment 18. Genome Sequencing: Applications of Meta-Heuristics in Bioinformatics 19. Meta-heuristics for training Neural Networks 20. Meta-heuristics for clustring problems 21. Bio Inspired Algorithms in the field of Antenna Array Optimization: Review 22. Foundations of Combinatorial Optimization, Heuristics, and Meta-heuristicsReviewsAuthor InformationSenior lecturer S. Ali Mirjalili MD, PhD, PGDipSurgAnat, PGCertCPU works in the Anatomy and Medical Imaging Department and Convenor of Science for Surgens Course, Department of Surgery at University of Auckland, Malaysia. Seyedali Mirjalili is a Professor at the Center for Artificial Intelligence Research and Optimization at Torrens University. He has gained international recognition for his contributions to nature-inspired artificial intelligence techniques, with over 500 published works that have received more than 80,000 citations and an H-index of 85. He has been on the list of the top 1% of highly-cited researchers since 2019, and Web of Science named him one of the most influential researchers in the world. In 2022 and 2023, The Australian newspaper recognized him as a global leader in Artificial Intelligence and a national leader in the Evolutionary Computation and Fuzzy Systems fields. He serves as a senior member of IEEE and holds editorial positions at several top AI journals, including Engineering Applications of Artificial Intelligence, Applied Soft Computing, Neurocomputing, Advances in Engineering Software, Computers in Biology and Medicine, Healthcare Analytics, Applied Intelligence, and Decision Analytics. Dr. Amir H. Gandomi is anARC DECRA Fellow at the Faculty of Engineering andInformation Technology, University of Technology Sydney, Australia. Prior to joining UTS, Dr. Gandomi was an Assistant Professor at Stevens Institute of Technology, USA and a Distinguished Research Fellow in BEACON center, Michigan State University, USA. Dr. Gandomi has published over two hundred journal papers and seven books which collectively have been cited 19,000+ times. He has been named as one of the most influential scientific mindsand Highly Cited Researcher (top 1% publications and 0.1% researchers) for four consecutive years, 2017 to 2020. He also ranked 18th in GP bibliography among more than 12,000 researchers. He has served as associate editor, editor and guest editor in several prestigious journals such as AE of SWEVO, IEEE TBD, and IEEE IoTJ. Dr. Gandomi is active in delivering keynotes and invited talks. His research interests are global optimization andbigdata analytics using Machine Learning and evolutionary computations in particular. Tab Content 6Author Website:Countries AvailableAll regions |
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