Description

Book Synopsis


Table of Contents
PART 1 Fundamentals 1. Introduction 2. Optimization problems 3. Traditional methods 4. Metaheuristic algorithms 5. Simulated annealing 6. Tabu search 7. Genetic algorithm 8. Ant colony optimization 9. Particle swarm optimization 10. Differential evolution PART 2 Advanced technologies 11. Solution encoding and initialization operator 12. Transition operator 13. Evaluation and determination operators 14. Parallel metaheuristic algorithm 15. Hybrid metaheuristic and hyperheuristic algorithms 16. Local search algorithm 17. Pattern reduction 18. Search economics 19. Advanced applications 20. Conclusion and future research directions A. Interpretations and analyses of simulation results B. Implementation in Python

Handbook of Metaheuristic Algorithms

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A Paperback by Chun-Wei Tsai, Ming-Chao Chiang

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    View other formats and editions of Handbook of Metaheuristic Algorithms by Chun-Wei Tsai

    Publisher: Elsevier Science
    Publication Date: 6/5/2023 12:00:00 AM
    ISBN13: 9780443191084, 978-0443191084
    ISBN10: 0443191085
    Also in:
    Computing Expert systems / knowledge-based systems Technology: general issues

    Description

    Book Synopsis


    Table of Contents
    PART 1 Fundamentals 1. Introduction 2. Optimization problems 3. Traditional methods 4. Metaheuristic algorithms 5. Simulated annealing 6. Tabu search 7. Genetic algorithm 8. Ant colony optimization 9. Particle swarm optimization 10. Differential evolution PART 2 Advanced technologies 11. Solution encoding and initialization operator 12. Transition operator 13. Evaluation and determination operators 14. Parallel metaheuristic algorithm 15. Hybrid metaheuristic and hyperheuristic algorithms 16. Local search algorithm 17. Pattern reduction 18. Search economics 19. Advanced applications 20. Conclusion and future research directions A. Interpretations and analyses of simulation results B. Implementation in Python

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