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Global Journal of Technology and Optimization

ISSN: 2229-8711

Open Access

Citations Report

Global Journal of Technology and Optimization : Citations & Metrics Report

Articles published in Global Journal of Technology and Optimization have been cited by esteemed scholars and scientists all around the world.

Global Journal of Technology and Optimization has got h-index 12, which means every article in Global Journal of Technology and Optimization has got 12 average citations.

Following are the list of articles that have cited the articles published in Global Journal of Technology and Optimization.

  2022 2021 2020 2019 2018

Year wise published articles

46 43 2 1 9

Year wise citations received

69 80 70 89 106
Journal total citations count 664
Journal impact factor 1.5
Journal 5 years impact factor 2.48
Journal cite score 1.95
Journal h-index 12
Journal h-index since 2018 10
Important citations

Joshi NP, Patel PV (2014) LabVIEW and Web-Server based Human Body Monitoring System. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 3:9356-62.

Castillo L, Dorao CA (2011) Decision-Making on Liquefied Natural Gas (LNG) projects using game theory. InComputational Intelligence in Multicriteria Decision-Making (MDCM): 60-66.

Castillo L, Dorao CA (2013) Decision-making in the oil and gas projects based on game theory: Conceptual process design. Energy Conversion and Management 66:48-55.

Castillo L, Dorao CA (2012) Consensual decision-making model based on game theory for LNG processes. Energy Conversion and Management 64:387-96.

Khorasan S, Birjand I (2010) Neural Network in Economic Dispatch: A Review.

Gunda J, Acharjee P, Biswas S (2011) Incremental cost based combined economic and emission dispatch using hybrid differential evolution. InRecent Advancements in Electrical, Electronics and Control Engineering (ICONRAEeCE), 2011 International Conference: 13-18.

Mahdi FP, Vasant P, Kallimani V, Abdullah-Al-Wadud M (2016) A review on economic emission dispatch problems using quantum computational intelligence. In Bhat AH, Yahya NB, Ramli AB, Soleimani H, Zakariah@ Zakaria SB, Faye I, Kait CF, editors.AIP Conference Proceedings 1787: 020002.

Gopalakrishnan R, Krishnan A (2012) An Advanced Genetic Optimization Algorithm to Solve Combined Economic and Emission Dispatch Problem. Bonfring International Journal of Man Machine Interface 2:11.

Yang R, Wang Z, Wang L (2011) A heuristic economic optimizer with emission constraints for building energy management. InNorth American Power Symposium (NAPS): 1-6.

Niu Q, Li K, Irwin GW (2015) Differential evolution combined with clonal selection for dynamic economic dispatch. Journal of Experimental & Theoretical Artificial Intelligence 27:325-50.

Derghal A, Goléa N (2014) Multi-objective generation scheduling using genetic-based fuzzy mathematical programming technique. Handbook of Research on Novel Soft Computing Intelligent Algorithms Theory and Practical Applications: 450-74.

Elsayed S, Zaman MF, Sarker R (2016) Automated differential evolution for solving dynamic economic dispatch problems. InIntelligent and Evolutionary Systems: 357-369

Gitizadeh M, Aghaei J (2014) Dynamic security consideration in multiobjective electricity markets. Applied Soft Computing 16:1-9.

Ganesan T, Elamvazuthi I, Vasant P (2011) Solving engineering optimization problems with the Karush-Kuhn-Tucker Hopfield neural networks. International Review of Mechanical Engineering 5:1333-9.

Krishnan G, Krishnan A (2011) Study on techniques for combined economic and emission dispatch. Global Journal of Researches in Engineering, Electrical and Electronical Engineering 11.

Vasant P, Ganesan T, Elamvazuthi I (2012) An improved PSO approach for solving non-convex optimization problems. InICT and Knowledge Engineering (ICT & Knowledge Engineering): 80-87

Ganesan T, Vasant P, Elamvazuthy I (2012) A hybrid PSO approach for solving non-convex optimization problems. Archives of Control Sciences 22:87-105.

Ahmadi MA, Ebadi M, Shokrollahi A, Majidi SM (2013) Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir. Applied Soft Computing 13:1085-98.

Gordini N, Veglio V (2010) Customer relationship management and data mining: A classification decision tree to predict customer purchasing behavior in global market.

Khalid S (2016) Application of Adaptive Tabu Search Algorithm in Hybrid Power Filter and Shunt Active Power Filters: Application of ATS Algorithm in HPF and APF. InSustaining Power Resources through Energy Optimization and Engineering: 276-308.

Relevant Topics

Google Scholar citation report
Citations: 664

Global Journal of Technology and Optimization received 664 citations as per Google Scholar report

Global Journal of Technology and Optimization peer review process verified at publons

Indexed In

 
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