Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm.
                                
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                                  This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm. 
                                
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                                  Provides rich set of chapters of machine learning and metaheuristic optimization Emphasizes optimization algorithms such as PSO, ant colony optimization, cuckoo search algorithm, etc. Includes real-world examples with attention to theoretical aspects for better understanding
                                
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                              Produktdetaljer
ISBN
                    
            9789819966479
      
                  Publisert
                     2024-11-02 
                  Utgiver
                    Springer Verlag, Singapore; Springer Verlag, Singapore
                  Høyde
                     235 mm
                  Bredde
                     155 mm
                  Aldersnivå
                     Research, P, 06
                  Språk
                    
  Product language
              Engelsk
          Format
                    
  Product format
              Heftet
          