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.
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Multi-objective Optimization Techniques : Variants, Hybrids, Improvements, and Applications

Rashid, Tarik A. (EDT); Ahmed, Aram Mahmoon (EDT); Hassan, Bryar A. (EDT); Yaseen, Zaheer Mudher (EDT); Mirjalili, Seyedali (EDT)

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