Genetic algorithm based fuzzy programming approach for multi-objective linear fractional stochastic transportation problem involving four-parameter Burr distribution-Reference-Cited by-同舟云学术

Genetic algorithm based fuzzy programming approach for multi-objective linear fractional stochastic transportation problem involving four-parameter Burr distribution

Published:2019-12-12 Issue:1 Volume:11 Page:93-109
ISSN:0975-6809
Container-title:International Journal of System Assurance Engineering and Management
language:en
Short-container-title:Int J Syst Assur Eng Manag

Author:

Abebaw Gessesse Adane^ORCID,Mishra Rajashree,Acharya Mitali Madhumita,Das Kedar Nath

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Link

http://link.springer.com/content/pdf/10.1007/s13198-019-00928-0.pdf

Reference37 articles.

1. Ali I et al (2019) Multi-objective linear fractional inventory problem under intuitionistic fuzzy environment. Int J Syst Assur Eng Manag 10(2):173–189

2. Ardjmand E et al (2016) Applying genetic algorithm to a new bi-objective stochastic model for transportation, location, and allocation of hazardous materials. Expert Syst Appl 51:49–58

3. Bharathi K, Vijayalakshmi C (2016) Optimization of multi-objective transportation problem using evolutionary algorithms. Glob J Pure Appl Math 12(2):1387–1396

4. Burr IW (1942) Cumulative frequency functions. Ann Math Stat 13(2):215–232

5. Charles V, Dutta D (2005) Linear stochastic fractional programming with sum of probabilistic fractional objective. Optimization online http://www.optimizationonline.org

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