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首页> 外文期刊>International Journal of Engineering Science and Technology >NUMERICAL FUNCTION OPTIMIZATION MODEL, PROCEDURE AND USES
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NUMERICAL FUNCTION OPTIMIZATION MODEL, PROCEDURE AND USES

机译:数值函数优化模型,程序及应用

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A new revised teaching leaning based optimization (R-TLBO) that kind of geographies overall exploration competences along with fast merging is presented in this work. The revised teaching leaning based optimization allows the learners and teachers of the teaching, learning based optimization (TLBO) technique to guide and learn in these directions that circumvent the difficulties of early local optima & convergence. In this paper, RTLBO is given to perform such kind of operations. Various optimization techniques are used and the concluded outcomes are matched with others from related studies. An experimental outcome shows that the planned technique is better than present techniques in the way of performance and accuracy. Additionally, investigations are performed on many experiments are done on typical benchmark difficulties to prove the efficiency of the planned technique. The compassion investigation is accomplished on dissimilar constraints of RTLBO to validate their effect on overall problems and benchmark.
机译:在这项工作中,提出了一种新的经过修订的基于教学的优化(R-TLBO),这种优化基于地理学的整体勘探能力以及快速合并的能力。修订后的基于教学倾向的优化允许教学者和教师基于教学的优化(TLBO)技术在这些方向上进行指导和学习,从而避免了早期局部优化和收敛的困难。在本文中,给出了RTLBO来执行此类操作。使用了各种优化技术,并将得出的结果与相关研究的结果相匹配。实验结果表明,在性能和准确性方面,计划技术要优于现有技术。此外,针对典型的基准难度对许多实验进行了研究,以证明所计划技术的效率。同情调查是在RTLBO的不同约束条件下完成的,以验证它们对总体问题和基准的影响。

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