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    Comprehensive Metaheuristics

    Algorithms and Applications

    AvAli Mirjalili,Amir Hossein Gandomi

    Häftad, Engelska, 2023

    1 996 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    Comprehensive Metaheuristics: Algorithms and Applications presents the foundational underpinnings of metaheuristics and a broad scope of algorithms and real-world applications across a variety of research fields. The book starts with fundamentals, mathematical prerequisites, and conceptual approaches to provide readers with a solid foundation. After presenting multi-objective optimization, constrained optimization, and problem formation for metaheuristics, world-renowned authors give readers in-depth understanding of the full spectrum of algorithms and techniques. Scientists, researchers, academicians, and practitioners who are interested in optimizing a process or procedure to achieve a goal will benefit from the case studies of real-world applications from different domains.

    The book takes a much-needed holistic approach, putting the most widely used metaheuristic algorithms together with an in-depth treatise on multi-disciplinary applications of metaheuristics. Each algorithm is thoroughly analyzed to observe its behavior, providing a detailed tutorial on how to solve problems using metaheuristics. New case studies and research problem statements are also discussed, which will help researchers in their application of the concepts.



    • Presented by world-renowned researchers and practitioners in metaheuristics
    • Includes techniques, algorithms, and applications based on real-world case studies
    • Presents the methodology for formulating optimization problems for metaheuristics
    • Provides readers with methods for analyzing and tuning the performance of a metaheuristic, as well as for integrating metaheuristics in other AI techniques
    • Features online complementary source code from the applications and algorithms

    Produktinformation

    • Utgivningsdatum:2023-02-02
    • Mått:191 x 235 x 28 mm
    • Vikt:930 g
    • Format:Häftad
    • Språk:Engelska
    • Antal sidor:466
    • Förlag:Elsevier Science
    • ISBN:9780323917810

    Utforska kategorier

    • Biokemisk teknik inom Naturvetenskap och teknik
    • Biomedicinsk teknik inom Medicin
    • Programmeringsböcker inom Data och IT

    Mer om författaren

    Senior 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. Amir H. Gandomi, PhD, is a leading researcher in global optimization and big data analytics, currently serving as a Professor of Data Science and an ARC DECRA Fellow at the University of Technology Sydney (UTS). With over 450 journal publications and 60,000 citations, he is among the most cited researchers worldwide. Dr. Gandomi has authored 14 books and received numerous accolades, including the IEEE TCSC Award and the Achenbach Medal. His editorial roles span several prestigious journals, and he is a sought-after keynote speaker in the fields of artificial intelligence and genetic programming. Previously, he held academic positions at the Stevens Institute of Technology and Michigan State University, where he contributed significantly to advancing knowledge in machine learning and evolutionary computation.

    Innehållsförteckning

    • 1. Chaos theory in metaheuristcs2. A New Metaheuristic Approach for Solving Multi-Objective Optimization Problems3. A Brief Overview of Physics-inspired Metaheuristic Optimization Techniques4. Application of evolutionary computation techniques for developing optimal response actions against water distribution networks contamination5. Metaheuristic Technique for Solving Fuzzy Nonlinear Equations6. Meta-heuristics in Network Intrusion Detection7. Meta-heuristics in text clustring8. Application of Metaheuristic Algorithms for Optimal Design of Sewer Collection Systems9. Meta-heuristics for optimization of structures10. Meta-heuristics for solving wind turbine placement problem11. Meta-heuristics in industrial development and its future perspective12. Levy Flight and Chaos Theory Based Gravitational Search Algorithm for Greyscale Image Thresholding13. Meta-heuristics for Optimal Feature Selection in High-Dimensional Datasets14. The Optimal Deployment of Sensors for Leakage Detection in Water Distribution Systems using meta-heuristics15. Meta-Heuristics Based Automatic Generation Controller In Interconnected Power Systems With Renewable Energy Sources16. Swarm Intelligence based Route optimization in Mobile Ad-hoc Network17. The promise of metaheuristic algorithms for efficient operation of a highly complex power system: a comparative assessment18. Genome Sequencing: Applications of Meta-Heuristics in Bioinformatics19. Meta-heuristics for training Neural Networks20. Meta-heuristics for clustring problems21. Bio Inspired Algorithms in the field of Antenna Array Optimization: Review22. Foundations of Combinatorial Optimization, Heuristics, and Meta-heuristics