The theoretical and methodological elements of evolutionary multi-objective optimization problems and the numerous design challenges employing various hybrid intelligence methodologies are some of the most recent subjects that are covered in the book.

Since multi-objective optimization has been around for over 20 years, its use in actual problems is steadily growing. In addition, many applications run more efficiently when adopting a hybrid systems strategy.

The book offers hybrid algorithms based on ANNs, fuzzy sets, automata theory, various metaheuristic or traditional algorithms, etc. The book looks at many instances of algorithms in several real-world application domains like antenna design, genetic design, traveling salesman problem, speech synthesis, graph growth problem, modeling of chemical and biochemical processes, etc.