Optimasi OPTIMASI BIAYA TRANSPORTASI PADA UKM DI KOTA BATAM

Sugianto, Welly; Susanti, Elva

doi:10.34010/iqe.v9i1.4278

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…These parts work together to find the best solution. We can visualize how they are connected in Figure 22 [59]. The optimizer method will help us figure out the best sizes for the pipes.…”

Section: (D) Ga Uses Probability Transition Rules and Not Determinist...mentioning

confidence: 99%

A Review of Genetic Algorithm: Operations and Applications

Faizatulhaida Md Isa,

Wan Nor Munirah Ariffin,

Muhammad Shahar Jusoh

et al. 2024

ARASET

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This article presents a review of the Genetic Algorithm (GA), a prominent optimization technique inspired by natural selection and genetics. In the context of rapidly evolving computational methodologies, GA have gained considerable attention for their efficacy in solving complex optimization problems across various domains. The background highlights the growing significance of optimization techniques in addressing real-world challenges. However, the inherent complexity and diversity of problems necessitate versatile approaches like GA. The problem statement underscores the need to explore the underlying operations and applications of GA to provide a nuanced understanding of their capabilities and limitations. The objectives of this review encompass delving into the fundamental genetic operators, such as selection, crossover, and mutation, while examining their role in maintaining diversity and converging toward optimal solutions. Methodology-wise, a systematic analysis of existing literature is undertaken to distil key insights and trends in GA applications. The main findings show the adaptability of GA in tackling problems spanning engineering, economics, bioinformatics, and beyond. By facilitating the discovery of optimal or near-optimal solutions within large solution spaces, GA proves its mettle in scenarios where traditional methods fall short. The conclusion underscores the enduring relevance of GA in the optimization landscape, emphasizing their potential to remain a pivotal tool for addressing intricate real-world challenges, provided their parameters are fine-tuned judiciously to balance exploration and exploitation.

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“…These parts work together to find the best solution. We can visualize how they are connected in Figure 22 [59]. The optimizer method will help us figure out the best sizes for the pipes.…”

Section: (D) Ga Uses Probability Transition Rules and Not Determinist...mentioning

confidence: 99%

A Review of Genetic Algorithm: Operations and Applications

Faizatulhaida Md Isa,

Wan Nor Munirah Ariffin,

Muhammad Shahar Jusoh

et al. 2024

ARASET

View full text Add to dashboard Cite

show abstract

“…The transportation method is a method used to organize the distribution from those sources that provide the same product to places of optimal need [11]. The allocation of this product must be arranged in such a way because there are differences in the costs of allocation from one source to another [12]. One of the optimization models is the transport model.…”

Section: Introduction Orona Virus (Covid-19mentioning

confidence: 99%

Optimization of Personal Protective Equipment Distribution Costs to Health Centers with Stepping Stone Method

Nugroho

Utami²,

Putro³

2023

Appl. Inf. Syst. Manage.

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This study aims to apply the Stepping Stone transportation method to optimize transportation costs for sending personal protective equipment (PPE) to thirteen health centers in Pamekasan. The method used is the Stepping Stone transportation method because it can manage the distribution of several warehouses that provide products to be sent to places in need optimally, which was previously a problem due to the length of time for sending medicines and PPE to each health centre and shipping operational costs are increasing because the distance of each warehouse to each health centre in each sub-district is very influential for cost as well as time. Based on the results of transportation simulations with this method, the results of the distribution cost of PPE delivery to each health centre in Pamekasan were obtained with distribution to Pamekasan warehouses of 30,000 units, Pakong warehouses of 15,000 units, Tlanakan warehouses of 10,000 units, and Pasean warehouses of 19,500 units, with optimal costs of IDR 37,000,000. The contribution of this research can be used by the Pamekasan District Health Office as an alternative policy for distributing PPE to each health centre in Pamekasan at an optimal cost.

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Optimasi OPTIMASI BIAYA TRANSPORTASI PADA UKM DI KOTA BATAM

Cited by 2 publications

References 3 publications

A Review of Genetic Algorithm: Operations and Applications

A Review of Genetic Algorithm: Operations and Applications

Optimization of Personal Protective Equipment Distribution Costs to Health Centers with Stepping Stone Method

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