An introduction to metaheuristics for optimization Bastien Chopard, Marco Tomassini

Format:

Book

Author/Creator:

Chopard, Bastien, 1959- author.

Tomassini, Marco, 1949- author.

Series:

Natural computing series 2627-6461

Language:

English

Subjects (All):

Metaheuristics.

Mathematical optimization.

Physical Description:

1 online resource

Edition:

Second edition

Place of Publication:

Singapore Springer [2026]

Summary:

This book proposes an introduction to metaheuristics, combining a theoretical understanding with the practical skill to use and develop these methods. Optimization is central to most domains of science, whether academic or industrial. The solution to many real life problems rely on our ability to find the maximum or minimum of some quantity of interest. However, many of these problems are referred to as "hard optimization" problems, meaning that they quickly become numerically intractable and cannot be solved by traditional optimization techniques. Metaheuristics are methods, inspired by physical processes, Darwinian evolution, animal behaviors, and other phenomena observed in Nature, which usually find optimal values of satisfactory quality within acceptable computing resources. As such, they are an essential tool for the optimization community. This textbook is suitable for advanced undergraduates in computer science and engineering, as well as for students and researchers from other disciplines looking for a concise and clear introduction to metaheuristic methods for optimization

Contents:

Problems, Algorithms, and Computational Complexity

Search Space

Statistical Features and Metrics of Search Spaces

Tabu Search

Simulated Annealing

The Ant Colony Method

Particle Swarm Optimization

Fireflies, Cuckoos, and Lévy Flights

Evolutionary Algorithms: Foundations

Evolutionary Algorithms: structured populations

Real Function Optimization: Evolution Strategies and Differential Evolution

Genetic Programming

Performance and Limitations of Metaheuristics

Phase Transitions in Combinatorial Optimization Problems

Adiabatic Quantum Computing and Quantum Annealing

Notes:

Includes bibliographical references and index

Online resource; title from PDF title page (SpringerLink, viewed April 20, 2026)

Other Format:

Print version Chopard, Bastien An Introduction to Metaheuristics for Optimization

ISBN:

9789819562169

9819562163

OCLC:

1586660963

Access Restriction:

Restricted for use by site license