The book establishes how to design, develop, and test different hybrids of multi-objective optimization algorithms. It presents several application areas of multi-objective optimization algorithms.



Presents a thorough analysis of equations, mathematical models, and mechanisms of multi-objective optimization algorithms.
Explores different alternatives of multi-objective optimization algorithms to solve binary, multi-objective, noisy, dynamic, and combinatorial optimization problems.
Illustrates how to design, develop, and test different hybrids of multi-objective optimization algorithms.
Discusses multi-objective optimization techniques for cloud, fog, and edge computing.
Highlights applications of multi-objective optimization in diverse sectors such as engineering, e-healthcare, and scheduling.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, communications engineering, computer science and engineering, and mathematics.