The book "Hybrid Metaheuristics for Generalized Network Design Problems" offers a comprehensive analysis of generalized network design problems, which belong to the family of NP-hard combinatorial optimization problems. It examines how these problems are defined on graphs whose sets of nodes are divided into clusters. The goal is to find a subgraph that includes exactly one node from each cluster and meets additional requirements. The authors present a combination of classical algorithms aimed at optimal solutions and metaheuristics that provide approximate solutions in a shorter time. These hybrid approaches allow for leveraging the advantages of both methods, thus offering new perspectives for solving complex network design problems.