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A Comparative Study of Firefly Algorithm and Shuffled Frog-leaping Algorithm for Constrained Free and Manufacturing Optimization Problems

机译:萤火虫算法与混合青蛙跨越算法对自由制造优化问题的比较研究

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Manufacturing process problems in industrial systems are currently large and complicated. The effective methods for solving these problems using a finite sequence of instructions can be classified into two groups; optimization and meta-heuristic algorithms. In this paper, a well-known meta-heuristic approach called Firefly Algorithm was used to compare with Shuffled Frog-leaping Algorithm. All algorithms were implemented and analyzed with manufacturing process problems under different conditions, which consist of single, multi-peak and curved ridge optimization. The results from both methods revealed that Firefly Algorithm seemed to be better in terms of the mean and variance of process yields including design points to achieve the final solution.
机译:工业系统中的制造过程问题目前很大而复杂。使用有限序列求解这些问题的有效方法可以分为两组;优化和元启发式算法。在本文中,使用众所周知的元启发式方法,称为Firefly算法与混合的青蛙跳跃算法进行比较。在不同条件下的制造过程问题实施和分析所有算法,该算法包括单一,多峰和弯曲的脊优化。两种方法的结果表明,萤火虫算法似乎在过程产量的平均值和方差方面更好,包括实现最终解决方案的设计要点。

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