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Advanced Transformation Technique to Solve Multi-Objective Optimization Problems 被引量:1

Advanced Transformation Technique to Solve Multi-Objective Optimization Problems
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摘要 Multi<span style="font-family:Verdana;">-</span><span style="font-family:Verdana;">objective optimization problem (MOOP) is an important class of optimization problem that ensures users </span><span style="font-family:Verdana;">to </span><span style="font-family:Verdana;">model a large variety of real world applications. In this paper an advanced transformation technique has been proposed to solve MOOP. An algorithm is suggested and the computer application of algorithm has </span><span style="font-family:Verdana;">been </span><span style="font-family:Verdana;">demonstrated by a flow chart. This method is comparatively easy to calculate. Applying on different types of examples, the result indicate</span><span style="font-family:Verdana;">s</span><span style="font-family:Verdana;"> that the proposed method gives better solution than other methods and it is less time consuming. Physical presentation and data analysis represent the worth of the method more compactly.</span> Multi<span style="font-family:Verdana;">-</span><span style="font-family:Verdana;">objective optimization problem (MOOP) is an important class of optimization problem that ensures users </span><span style="font-family:Verdana;">to </span><span style="font-family:Verdana;">model a large variety of real world applications. In this paper an advanced transformation technique has been proposed to solve MOOP. An algorithm is suggested and the computer application of algorithm has </span><span style="font-family:Verdana;">been </span><span style="font-family:Verdana;">demonstrated by a flow chart. This method is comparatively easy to calculate. Applying on different types of examples, the result indicate</span><span style="font-family:Verdana;">s</span><span style="font-family:Verdana;"> that the proposed method gives better solution than other methods and it is less time consuming. Physical presentation and data analysis represent the worth of the method more compactly.</span>
作者 Margia Yesmin Md. Abdul Alim Margia Yesmin;Md. Abdul Alim(Department of Mathematics and Statistics, Bangladesh University of Textiles, Dhaka, Bangladesh;Department of Mathematics, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh)
出处 《American Journal of Operations Research》 2021年第3期166-180,共15页 美国运筹学期刊(英文)
关键词 MOOP Harmonic Average Technique Modified Harmonic Average Technique Advanced Transformation Technique MOOP Harmonic Average Technique Modified Harmonic Average Technique Advanced Transformation Technique
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