| Title |
Modified artificial bee colony for the vehicle routing problems with time windows
|
|---|---|
| Published in |
SpringerPlus, August 2016
|
| DOI | 10.1186/s40064-016-2940-8 |
| Pubmed ID | |
| Authors |
Malek Alzaqebah, Salwani Abdullah, Sana Jawarneh |
| Abstract |
The natural behaviour of the honeybee has attracted the attention of researchers in recent years and several algorithms have been developed that mimic swarm behaviour to solve optimisation problems. This paper introduces an artificial bee colony (ABC) algorithm for the vehicle routing problem with time windows (VRPTW). A Modified ABC algorithm is proposed to improve the solution quality of the original ABC. The high exploration ability of the ABC slows-down its convergence speed, which may due to the mechanism used by scout bees in replacing abandoned (unimproved) solutions with new ones. In the Modified ABC a list of abandoned solutions is used by the scout bees to memorise the abandoned solutions, then the scout bees select a solution from the list based on roulette wheel selection and replace by a new solution with random routs selected from the best solution. The performance of the Modified ABC is evaluated on Solomon benchmark datasets and compared with the original ABC. The computational results demonstrate that the Modified ABC outperforms the original ABC also produce good solutions when compared with the best-known results in the literature. Computational investigations show that the proposed algorithm is a good and promising approach for the VRPTW. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 2% |
| Unknown | 51 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 15% |
| Student > Ph. D. Student | 6 | 12% |
| Student > Bachelor | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Lecturer | 3 | 6% |
| Other | 9 | 17% |
| Unknown | 19 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 27% |
| Engineering | 7 | 13% |
| Business, Management and Accounting | 6 | 12% |
| Mathematics | 2 | 4% |
| Decision Sciences | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 22 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 August 2016.
All research outputs
#20,337,788
of 22,883,326 outputs
Outputs from SpringerPlus
#1,461
of 1,851 outputs
Outputs of similar age
#317,033
of 361,769 outputs
Outputs of similar age from SpringerPlus
#189
of 218 outputs
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