Vehicle Routing Optimization in Logistics Distribution Using Hybrid Ant Colony Algorithm

Qi, Chengming

doi:10.11591/telkomnika.v11i9.3284

Cited by 10 publications

(8 citation statements)

References 26 publications

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“…In every search of the ants, an optimal path and a suboptimal path can be found [8]. Use the optimal path as the axis, spread around, until spread to the suboptimal path, a diffusion range can be found.…”

Section: The Improved Ant Colony Algorithmmentioning

confidence: 99%

“…If k>m, then jump to step (8). (4) Put the city in which the ant current lives into the taboo list tabu.…”

Section: Figure 1 Ant Foraging Routesmentioning

confidence: 99%

“…Calculate the distance matrix according to the formula (9). (4) An Ant selects a host from the hotlist according to formula (8); the host will be used to deploy virtual machine later. If the host does not meet the deployment requirements of virtual machine, the host should not be considered.…”

Section: Description Of the Virtual Machine Reset And Migration Algormentioning

confidence: 99%

See 2 more Smart Citations

Research of Resource Scheduling Strategy in Cloud Computing

Yang¹,

Ma²,

Mu³

et al. 2015

IJGDC

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show abstract

Section: The Improved Ant Colony Algorithmmentioning

confidence: 99%

“…If k>m, then jump to step (8). (4) Put the city in which the ant current lives into the taboo list tabu.…”

Section: Figure 1 Ant Foraging Routesmentioning

confidence: 99%

See 1 more Smart Citation

Research of Resource Scheduling Strategy in Cloud Computing

Yang¹,

Ma²,

Mu³

et al. 2015

IJGDC

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show abstract

“…The ACO technique has been applied successfully to solve a variety of optimization problems, such as the prediction of the consumption of electricity [9], the traveling salesman problem (TSP) [10], the vehicle routing problem [11], the optimization of power flow [12], the learning problem [13] and the field of analog circuits design [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Ant Colony Optimization for Optimal Low-Pass State Variable Filter Sizing

Loubna

Benhala

Zorkani

2018

IJECE

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In analog filter design, discrete components values such as resistors (R) and capacitors (C) are selected from the series following constant values chosen. Exhaustive search on all possible combinations for an optimized design is not feasible. In this paper, we present an application of the Ant Colony Optimization technique (ACO) in order to selected optimal values of resistors and capacitors from different manufactured series to satisfy the filter design criteria. Three variants of the Ant Colony Optimization are applied, namely, the AS (Ant System), the MMAS (Min-Max AS) and the ACS (Ant Colony System), for the optimal sizing of the Low-Pass State Variable Filter. SPICE simulations are used to validate the obtained results/performances which are compared with already published works.

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“…Several approaches have been proposed to adapt the parameters on Ant Colony algorithms [4][5][6][7][8]. Espacially the adaptation using Fuzzy Logic, in this part the most important are presented.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Updating the Local Pheromone on ACS Performance using Fuzzy Logic

Afia

Bouzbita

Faizi

2017

IJECE

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Fuzzy Logic Controller (FLC) has become one of the most frequently utilised algorithms to adapt the metaheuristics parameters as an artificial intelligence technique. In this paper, the parameter of Ant Colony System (ACS) algorithm is adapted by the use of FLC, and its behaviour is studied during this adaptation. The proposed approach is compared with the standard ACS algorithm. Computational results are done based on a library of sample instances for the Traveling Salesman Problem (TSPLIB).

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Vehicle Routing Optimization in Logistics Distribution Using Hybrid Ant Colony Algorithm

Cited by 10 publications

References 26 publications

Research of Resource Scheduling Strategy in Cloud Computing

Research of Resource Scheduling Strategy in Cloud Computing

Ant Colony Optimization for Optimal Low-Pass State Variable Filter Sizing

The Effect of Updating the Local Pheromone on ACS Performance using Fuzzy Logic

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