Titlebook: Applied Multi-objective Optimization; Nilanjan Dey Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive license to S

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Multi-modal Routing in Urban Transportation Network Using Multi-objective Quantum Particle Swarm Oparative analysis is performed between the improved PSO algorithm and its standard version, and the results highlight the MOQPSO algorithm‘s ability to discover the optimal solution within a limited number of iterations and time. Furthermore, the routes determined by the MOQPSO are found to be more e

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Zusammenstellung der benutzten Literatur, discover optimal solutions. In this research, the MOLA, which has the capability of dealing with continuous variables is applied to two different trusses: 60- and 200-bar truss structures. The results reveal the merit of the MOLA in discovering Pareto-optimum solutions that offer trade-offs between weight and stiffness.

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Book 2024the domain of healthcare, engineering design, and manufacturing. The book discusses how meta-heuristic algorithms are successful in resolving challenging, multi-objective optimization issues in various disciplines, including engineering, economics, medical and environmental management. The topic is

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Verfahren zur Reinigung von Gichtgas,bsolute error (ITAE) objective functions are involved at the time of tuning the controller gain parameters. Finally, the MA-tuned weighted sum of the PID controller result is validated with the MA-tuned PI and PID controllers for supremacy.