Guide to Computational Modelling for Decision Processes

The book "Guide to Computational Modelling for Decision Processes" offers a comprehensive introduction to the methods and models of computational modeling that are essential for developing efficient solutions to critical processes. It is aimed at professionals and students dealing with complex decision-making problems. By combining theoretical foundations with practical case studies, it demonstrates how heuristic and analytical approaches can be used to solve large and complex problems. The topics covered include heuristic methods, mathematical programming, queueing theory, and simulation techniques. The case studies encompass a wide range of applications and illustrate the use of techniques such as genetic algorithms, fuzzy logic, and tabu search. Additionally, the appendices provide extended descriptions and examples that deepen the understanding of the concepts discussed.