<p><span data-olk-copy-source="MessageBody">The Encyclopedia of Engineering Optimization and Heuristics discusses various topics, including background/literature review, optimization method descriptions (including mathematical formulations), flowcharts/pseudocodes, illustrations, problems and applications, results, and critical discussions. The editors have brought together almost every aspect of this enormous field, such as mathematical and Bayesian optimization, neural networks and deep learning, genetic algorithms and applications, hybrid optimization methods, combinatorial optimization, constraint handling in optimization methods, and swarm-based optimization, among others.</span></p><p>This encyclopedia serves as a comprehensive reference, covering a wide range of formal optimization methods. It will be useful for both experts and non-specialists, as they will find the material stimulating. The book also addresses research trends, challenges, and prospective topics.</p>