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