Single-Level Production Planning in Petrochemical Industries Using Novel Computational Intelligence Algorithms
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-26458-1_13
Reference31 articles.
1. Alfares H, Al Amer A (2002) An optimization model for guiding the petrochemical industry development in Saudi Arabia. Eng Optim 34(6):671–687
2. Aminzadeh F (2005) Applications of AI and soft computing for challenging problems in the oil industry. J Pet Sci Eng 47(2):5–14
3. Assareh E, Behrang MA, Assari MR, Ghanbarzadeh A (2010) Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand estimation of oil in Iran. Energy 35(12):5223–5229
4. Bayraktar Z, Komurcu M (2016) Adaptive wind driven optimization. In: Proceedings of the 9th EAI international conference on bio-inspired information and communications technologies, New York, USA. https://doi.org/10.4108/eai.3-12-2015.2262424
5. Toledo CEE, Aranda CG, Mareschal B (2010) Petrochemical industry: assessment and planning using multicriteria decision aid methods. Technol Invest 1(2):118–134
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