### Abstract

Competitive global markets oblige the firms to reduce their overall costs while maintaining the same customer service level and this can be achieved just through a precise and efficient management of their supply chain network. The Fixed Charge Transportation Problem (FCTP) which is a more comprehensive type of Transportation Problem (TP) has several applications from different aspects in this network. Since the problem is NP-hard and solving this problem with decisive methods and heuristics will be computationally time consuming and expensive, two Genetic Algorithm are applied for this problem and also two fuzzy logic controllers are developed to automatically tune two critical parameters (P_{c} and P_{m}) of one of these two GAs. Finally the results from the simple conventional GA and automatically tuned GA are compared together. This comparison demonstrated that the GA that is tuned with FLC reach the local optimum remarkably faster.

Original language | English |
---|---|

Title of host publication | IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011 |

Pages | 96-101 |

Number of pages | 6 |

Volume | 1 |

Publication status | Published - 2011 |

Event | International MultiConference of Engineers and Computer Scientists 2011, IMECS 2011 - Kowloon Duration: 16 Mar 2011 → 18 Mar 2011 |

### Other

Other | International MultiConference of Engineers and Computer Scientists 2011, IMECS 2011 |
---|---|

City | Kowloon |

Period | 16/3/11 → 18/3/11 |

### Fingerprint

### Keywords

- Adaptive genetic algorithm
- Fixed Charge Transportation Problem (FCTP)
- Fuzzy Logic Controller (FLC)
- Logistics
- Supply Chain Management (SCM)

### ASJC Scopus subject areas

- Computer Science(all)
- Engineering(all)

### Cite this

*IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011*(Vol. 1, pp. 96-101)

**Adaptive genetic algorithm for fixed-charge transportation problem.** / Othman, Zalinda; Delavar, Mohammad Reza Rostamian; Behnam, Sarah; Lessanibahri, Sina.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011.*vol. 1, pp. 96-101, International MultiConference of Engineers and Computer Scientists 2011, IMECS 2011, Kowloon, 16/3/11.

}

TY - GEN

T1 - Adaptive genetic algorithm for fixed-charge transportation problem

AU - Othman, Zalinda

AU - Delavar, Mohammad Reza Rostamian

AU - Behnam, Sarah

AU - Lessanibahri, Sina

PY - 2011

Y1 - 2011

N2 - Competitive global markets oblige the firms to reduce their overall costs while maintaining the same customer service level and this can be achieved just through a precise and efficient management of their supply chain network. The Fixed Charge Transportation Problem (FCTP) which is a more comprehensive type of Transportation Problem (TP) has several applications from different aspects in this network. Since the problem is NP-hard and solving this problem with decisive methods and heuristics will be computationally time consuming and expensive, two Genetic Algorithm are applied for this problem and also two fuzzy logic controllers are developed to automatically tune two critical parameters (Pc and Pm) of one of these two GAs. Finally the results from the simple conventional GA and automatically tuned GA are compared together. This comparison demonstrated that the GA that is tuned with FLC reach the local optimum remarkably faster.

AB - Competitive global markets oblige the firms to reduce their overall costs while maintaining the same customer service level and this can be achieved just through a precise and efficient management of their supply chain network. The Fixed Charge Transportation Problem (FCTP) which is a more comprehensive type of Transportation Problem (TP) has several applications from different aspects in this network. Since the problem is NP-hard and solving this problem with decisive methods and heuristics will be computationally time consuming and expensive, two Genetic Algorithm are applied for this problem and also two fuzzy logic controllers are developed to automatically tune two critical parameters (Pc and Pm) of one of these two GAs. Finally the results from the simple conventional GA and automatically tuned GA are compared together. This comparison demonstrated that the GA that is tuned with FLC reach the local optimum remarkably faster.

KW - Adaptive genetic algorithm

KW - Fixed Charge Transportation Problem (FCTP)

KW - Fuzzy Logic Controller (FLC)

KW - Logistics

KW - Supply Chain Management (SCM)

UR - http://www.scopus.com/inward/record.url?scp=79960615489&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79960615489&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:79960615489

SN - 9789881821034

VL - 1

SP - 96

EP - 101

BT - IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011

ER -