A Conceptual Comparison of Six Nature-Inspired Metaheuristic Algorithms in Process Optimization

In recent years, several high-performance nature-inspired metaheuristic algorithms have been proposed. It is important to study and compare the convergence, computational burden and statistical significance of these metaheuristics to aid future developments. This study focuses on six recent metaheur...

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Veröffentlicht in:	Processes 2022-02, Vol.10 (2), p.197
Hauptverfasser:	Rajendran, Shankar, N., Ganesh, Čep, Robert, R. C., Narayanan, Pal, Subham, Kalita, Kanak
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer applications Elitism Genetic algorithms Heuristic methods Hunting Material removal rate (machining) Mathematical analysis Mathematics Optimization Optimization algorithms Optimization techniques Process parameters Surface roughness Variables Water pressure
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