Analisis Strategi Pemasaran Produk Dengan Metode MOORA

Lumbantoruan, Gortap; Harianja, Eva Julia Gunawati

doi:10.46880/jmika.v4i2.204

Cited by 1 publication

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References 3 publications

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“…The results of these two equations are used in Eq. ( 6) to establish the value of the contribution [9,20,21].…”

Section: Hybrid Methods: Mcdm + Swarm Intelligencementioning

confidence: 99%

Comparison of PSO with the Hybrid Algorithms MOORA-PSO and DA-PSO for Decision Making

Dynhora-Danheyda,

Asunción,

Adán

2023

AMA_B

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Technological advances have generated great changes in the optimization of resources, times, and costs, increasing profits and performance. Therefore, decision-making requires a sophisticated and powerful tool that helps the field of decision making. Currently, there is a wide variety of algorithms, but it is difficult to determine which one provides the best results. The materials used in this research contemplate the particle swarm optimization (PSO) algorithm in its classical form and the MOORA-PSO and DA-PSO hybrids. Where these hybrids use the multi-criteria decision-making methods (MCDM): Multi-objective optimization using ratio analysis (MOORA) and Dimensional Analysis (DA). Furthermore, the algorithms are implemented in a computer system. The methodology begins with understanding the algorithms and methods employed. Continue the integration of PSO with MOORA and DA. Followed by the comparison of the algorithms. Ending with the publication of the results and findings found. Therefore, the objective of the research is to compare PSO with two hybrids, identifying which algorithm has the greatest potential for decision-making. The results obtained have been successful, demonstrating that the DA-PSO hybridization has greater potential for decision-making. In addition, the MOORA-PSO hybridization indicates that the initial control parameters are crucial for its performance.

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“…The results of these two equations are used in Eq. ( 6) to establish the value of the contribution [9,20,21].…”

Section: Hybrid Methods: Mcdm + Swarm Intelligencementioning

confidence: 99%