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Statistics report
Dec. 2021
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 104
Paper Published : 1332
No. of Authors : 3367
  Journal Paper


Paper Title :
Bio-Inspired Metaheuristics Search Algorithms for Optimizing Manufacturing Process

Author :Yang Lie, Sheta Alaa

Article Citation :Yang Lie ,Sheta Alaa , (2019 ) " Bio-Inspired Metaheuristics Search Algorithms for Optimizing Manufacturing Process " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 12-19, Volume-7, Issue-10

Abstract : Traditional search methods used to solve manufacture engineering optimization problems fail to find the global optimum when dealing with a complex objective function and a large number of decision variables. Bio-inspired metaheuristics search algorithms shows significant performance in handling multi-model function optimization with many constraints. They can efficiently explore the search space and produce results that are more global in nature. Compared with other metaheuristic algorithm, the CSA has the advantage of less parameter setting and easy implementation. Two cutting tools Cases study of engineering problems are used to demonstrate the CSA. The results of case studies show the CSA perform a promising result in engineering optimization problem. A performance comparison with genetic algorithms, particle swarm optimization and cuckoo search is also presented in the paper and shows the ascendancy with better convergence rate. Keywords - Crow Search Algorithm, Engineering Optimization Problem, Parameter Optimization, Cutting Tools

Type : Research paper

Published : Volume-7, Issue-10


DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-16340   View Here

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