Advanced Metaheuristics: Novel Approaches for Complex Problem Solving

Name: Advanced Metaheuristics: Novel Approaches for Complex Problem Solving
Brand: Springer
Availability: OutOfStock
Rating: 5 (1 reviews)

By Erik Cuevas

0 - Default Title

Description

This book examines a series of strategies designed to enhance metaheuristic algorithms, focusing on critical aspects such as initialization methods, the incorporation of Evolutionary Game Theory to develop novel search mechanisms, and the application of learning concepts to refine evolutionary operators. Furthermore, it emphasizes the significance of diversity and opposition in preventing premature convergence and improving algorithmic efficiency. These strategies collectively contribute to the development of more adaptive and robust optimization techniques. The book was designed from a teaching standpoint, making it suitable for undergraduate and postgraduate students in Science, Electrical Engineering, or Computational Mathematics. Furthermore, engineering practitioners unfamiliar with metaheuristic computations will find value in the application of these techniques to address complex real-world engineering problems, extending beyond theoretical constructs.

Product details

Number of Pages:

244

Release Date:

2025-05-18

Publication Date:

2025-05-18

Publisher:

Springer

Languages:

Original: English

ISBN10:

3031892836

ISBN13:

9783031892837

GPSR Manufacturer Reference:

[email protected]

Weight:

533 g

Height:

160 cm

Width:

241 cm

Thickness:

19 cm

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