Data driven hybrid evolutionary analytical approach for multi objective location allocation decisions: automotive green supply chain empirical evidence

DOI10.1016/j.cor.2018.01.008zbMath1391.90368OpenAlexW2794026254WikidataQ130144027 ScholiaQ130144027MaRDI QIDQ1651666

Ian Shivraj Doolun, Nachiappan Subramanian, S. G. Ponnambalam, G. Kanagaraj

Publication date: 12 July 2018

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2018.01.008

zbMATH Keywords

big datamulti-objective differential evolutionsupply chain networklocation-allocation decision

Mathematics Subject Classification ID

Nonlinear programming (90C30) Stochastic programming (90C15) Transportation, logistics and supply chain management (90B06) Inventory, storage, reservoirs (90B05) Case-oriented studies in operations research (90B90) Discrete location and assignment (90B80) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76)

Related Items (1)

Learning-based multi-objective evolutionary algorithm for batching decision problem

Cites Work

• Unnamed Item
• Location and capacity allocations decisions to mitigate the impacts of unexpected disasters
• Incorporating location, inventory and price decisions into a supply chain distribution network design problem
• Heuristic approaches for the multiperiod location-transportation problem with reuse of vehicles in emergency logistics
• A global shooting algorithm for the facility location and capacity acquisition problem on a line with dense demand
• Facility location and supply chain management. A review
• A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 special session on real parameter optimization
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• A distance-limited continuous location-allocation problem for spatial planning of decentralized systems
• A new approach to cooperative competition in facility location problems: mathematical formulations and an approximation algorithm
• Planning of complex supply chains: a performance comparison of three meta-heuristic algorithms
• Differential Evolution for Binary Encoding

This page was built for publication: Data driven hybrid evolutionary analytical approach for multi objective location allocation decisions: automotive green supply chain empirical evidence