2019
DOI: 10.31940/logic.v19i3.1437
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Mobile Application Searching of the Shortest Route on Delivery Order of CV. Alfa Fresh With Brute Force Algorithm

Abstract: Traveling Salesman Problem is a problem solving used in finding the shortest route to visit all nodes at once and then return to the initial node. Troubleshooting of the Traveling Salesman Problem using the Brute Force algorithm. The object of this research is the courier at CV. Alfa Fresh. The Brute Force algorithm provides a solution for Traveling Salesman Problems to select and determine the shortest routes to deliver orders from the office to the destination. The Brute Force algorithm is an algorithm that … Show more

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Cited by 5 publications
(7 citation statements)
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“…However, although both the stochastic population-based evolutionary and greedybased search heuristic procedures are often more efficient than brute exhaustive search, they may sometimes not guarantee to achieve of global optimum [6,7], whereas greedy and its variant implementation, such as the greedy randomized adaptive search which have been used by (8) may face a hill climbing problem, the evolutionary extremums may be caused by its population-based stochastic search heuristic implementation which may probabilistically select at that one time from a very unfit initialized genes chromosomes of the creature being optimized [9], among other things. As such, as observed in [10], the surprising outstanding successes of the systematic brute force-based exhaustive search counterpart in producing optimal WVE models configuration sets with predictive performances similar to those created by evolutionary-based optimization procedures in conjunction with its theoretical guarantee for finding an optimal solution through a search across systematic search spaces [11], it may become imperative to implement the brute exhaustive search procedures, as given the required high computational effort is available, it guarantees exhaustion of all candidate solutions combinations [11,12], for optimality search problems, such as this of finding the appropriate weights for the most accurate WVE, at a reasonable efficiency tradeoff when the deemed global optima solution estimations has been defined as a key requirement, that is, must occur.…”
mentioning
confidence: 80%
See 1 more Smart Citation
“…However, although both the stochastic population-based evolutionary and greedybased search heuristic procedures are often more efficient than brute exhaustive search, they may sometimes not guarantee to achieve of global optimum [6,7], whereas greedy and its variant implementation, such as the greedy randomized adaptive search which have been used by (8) may face a hill climbing problem, the evolutionary extremums may be caused by its population-based stochastic search heuristic implementation which may probabilistically select at that one time from a very unfit initialized genes chromosomes of the creature being optimized [9], among other things. As such, as observed in [10], the surprising outstanding successes of the systematic brute force-based exhaustive search counterpart in producing optimal WVE models configuration sets with predictive performances similar to those created by evolutionary-based optimization procedures in conjunction with its theoretical guarantee for finding an optimal solution through a search across systematic search spaces [11], it may become imperative to implement the brute exhaustive search procedures, as given the required high computational effort is available, it guarantees exhaustion of all candidate solutions combinations [11,12], for optimality search problems, such as this of finding the appropriate weights for the most accurate WVE, at a reasonable efficiency tradeoff when the deemed global optima solution estimations has been defined as a key requirement, that is, must occur.…”
mentioning
confidence: 80%
“…Consequently, by substituting ao in the arithmetic sequence expression A from equation ( 7) by the proposed initialization function equation ( 9) values, to obtain arithmetic sequence AZ+ in equation (11).…”
Section: Exp(-)z + Based Weights Coefficients Matrix and Search Space...mentioning
confidence: 99%
“…Penerapan algoritma brute force adalah ketika membuat form log mutasi. Algoritma brute force diperlukan dalam memeriksa data pemilik tanah sehingga admin atau user tidak perlu mengetik seluruh teks pada data yang ingin dicari, hanya perlu memasukan kata kunci atau key [17]. Algoritma brute force digunakan dalam penelitian ini dikarenakan algoritma brute force merupakan pendekatan yang lempang (straight forward) untuk memecahkan masalah [18] dan biasanya didasarkan pada problem statement [19].…”
Section: Hasil Uji Implementasi Algoritma Brute Forceunclassified
“…The A* algorithm in the Goat Foraging Game utilizes artificial intelligence to determine the shortest distance between the enemy and the goat. Other studies have demonstrated that the brute force algorithm can solve problems in t he shortest amount of time [12]. The Brute Force Algorithm involves evaluating all possible solutions to find the correct one, which results in a longer time frame compared to other algorithms as it thoroughly checks every possible outcome, regardless of its feasibility.…”
Section: Introductionmentioning
confidence: 99%