Volume 12 (2020)
Volume 11 (2019)
Volume 10 (2018)
Volume 9 (2017)
Volume 8 (2016)
Volume 7 (2015)
Volume 6 (2014)
Volume 5 (2013)
Volume 4 (2012)
Volume 3 (2011)
Volume 2 (2010)
Volume 1 (2009)
Operation Research
126. An Improved Optimization Model for Scheduling of a Multi-Product Tree-Like Pipeline

Mehrnoosh Taherkhani

Volume 11, Issue 2 , Autumn 2019, , Pages 243-259

  In the petroleum supply chain, oil refined products are often delivered to distribution centers by pipelines since they provide the most reliable and economical mode of transportation over large distances. This paper addresses the optimal scheduling of a complex pipeline network with multiple branching ...  Read More

Data Envelopment Analysis
127. Efficiency score assessment of Iranian Mining, Wood and Textile Industries

Malek Hassanpour

Volume 11, Issue 2 , Autumn 2019, , Pages 267-276

  The Iranian Environment Protection Agency (IEPA) in collaboration with Iranian Industries Organization (IIO) need to design a relevant database for the industries information based on the initial screening of Iranian Evaluator Team (IET) in certain clusters. However, we aware of this fact that all industrial ...  Read More

Operation Research
128. On solving possibilistic multi- objective De Novo linear programming

Hamiden Khalifa

Volume 11, Issue 2 , Autumn 2019, , Pages 277-284

  Multi-objective De Novo linear programming (MODNLP) is problem for designing optimal system by reshaping the feasible set (Fiala [3] ). This paper deals with MODNLP having possibilistic objective functions coefficients. The problem is considered by inserting possibilistic data in the objective functions ...  Read More

129. An Ant-Colony Optimization Clustering Model for Cellular Automata Routing in Wireless Sensor Networks

Aref Safari

Articles in Press, Accepted Manuscript, Available Online from 27 October 2020

  High efficient routing is an important issue for the design of wireless sensor network (WSN) protocols to meet the severe hardware and resource constraints. This paper presents an inclusive evolutionary reinforcement method. The proposed approach is a combination of Cellular Automata (CA) and Ant Colony ...  Read More