A genetic algorithm for two-stage transportation problem using priority-based encoding

By Mitsuo Gen, Fulya Altıparmak, Lin Lin. OR Spectr., 2006

314 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/169ecdaf0f3d5fd5a9b29bb78b2a21a870fcd60d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Mir Saman Pishvaee
2. Reza Zanjirani Farahani
3. W. Dullaert
4. Saman Hassanzadeh Amin
5. Guoqing Zhang
6. Wei-Chang Yeh
7. Mei-Chi Chuang

In Industrial and Manufacturing Engineering

1. Mir Saman Pishvaee
2. Reza Zanjirani Farahani
3. W. Dullaert
4. Turan Paksoy
5. Lin Lin
6. Fulya Altıparmak

Citations in the corpus

• A memetic algorithm for bi-objective integrated forward/reverse logistics network design (2010, methodology): “[30] priority-based decoding algorithm should be modified with respect to IFRLN model assumptions.”
• A genetic algorithm approach for multi-objective optimization of supply chain networks (2006, methodology): “The first application of this encoding structure to a single product transportation problem was carried out by Gen, Altiparmak, and Lin (2006), and its extension to design of multi-product, multi-stage SCN had been made by Altiparmak, Gen, and Lin (2005).”