Modified shuffled frog leaping algorithm applying on logistics distribution vehicle rounting problem

Yan, Li; Xiu-fen, Kong; Hao, Ruiqing

doi:10.1109/bmei.2011.6098776

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…Taking passengers riding as an example, simulate the process of passengers checking tickets from entering the subway station, looking for the corresponding waiting platform, and waiting for the train. [3] Figure 1. Flow chart.…”

Section: Flow Chartmentioning

confidence: 99%

The VRP and the subway station passenger guidance system

Tao

Pu²,

Xie³

et al. 2022

Second International Conference on Optics and Communication Technology (ICOCT 2022)

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The passenger boot system of the subway station is an important part of the subway station and is an important measure in the quality assurance of subway station. Modern subway stations often choose construction in urban underground, and the space environment is more complicated, and there is a decline in the spatial direction of the underground, and passengers can be lost in the station. Therefore, how to conduct scientific and effective optimization upgrades to the pedestrian boot system of the subway station, and enhance passengers' travel efficiency in the subway station.This paper is based on the VRP(Virtual Reality Platform) virtual reality platform, using software such as 3DSMAX, Photoshop, VRP-Builder, and simulates passengers from the process of entering the station. To achieve the ride process visualization, the passengers can easily and easily understand the ride process, improve travel efficiency, which is convenient for life. It also enables the subway staff to understand the passengers to the subway station's ride process, which is convenient for follow-up to optimize upgrade, and enhance the quality of the subway station.

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Section: Flow Chartmentioning

confidence: 99%

The VRP and the subway station passenger guidance system

Tao

Pu²,

Xie³

et al. 2022

Second International Conference on Optics and Communication Technology (ICOCT 2022)

View full text Add to dashboard Cite

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The role of basic, modified and hybrid shuffled frog leaping algorithm on optimization problems: a review

2014

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Shuffled frog leaping algorithm (SFLA) is a meta-heuristic to handle different large-scale optimization problems. SFLA is a population-based algorithm that combines the advantages of memetic algorithm and particle swarm optimization. This paper compares previous researches on SFLA and its effectiveness, with the most applied optimization algorithms reviewed and analyzed. Based on the literature, many efforts by previous researchers on SFLA denote the next generations of basic SFLA with diverse structures for modified SFLA or hybrid SFLA. As well, an attempt is made to highlight these structures, their enhancements and advantages. Moreover, this paper considers top improvements on SFLA for solving multi-objective optimization problems, enhancing local and global exploration, avoiding being trapped into local optima, declining computational time and improving the quality of the initial population. The measured enhancements in SFLA are based on the statistical results obtained from 89 published papers and by considering the most common and effective modifications done by a large number of researchers. Finally, the quantitative validations address the SFLA as a robust algorithm employed in various applications which outperforms the other optimization algorithms.

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Modified shuffled frog leaping algorithm applying on logistics distribution vehicle rounting problem

Cited by 2 publications

References 4 publications

The VRP and the subway station passenger guidance system

The VRP and the subway station passenger guidance system

The role of basic, modified and hybrid shuffled frog leaping algorithm on optimization problems: a review

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