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A new hybrid approach for nonconvex economic dispatch problem with valve-point effect
Yaşar, Celal; Özyön, Serdar - In: Energy 36 (2011) 10, pp. 5838-5845
In literature, economic dispatch problems are generally categorized as convex and nonconvex optimization problems. In … optimization problems. For this reason the hybrid approach used for solution of this problem is formed as a combination of modified …
Persistent link: https://www.econbiz.de/10011053212
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An efficient harmony search with new pitch adjustment for dynamic economic dispatch
Niu, Qun; Zhang, Hongyun; Li, Kang; Irwin, George W. - In: Energy 65 (2014) C, pp. 25-43
economic dispatch (DED) of electrical power systems, a large-scale non-linear real time optimization problem imposed by a …
Persistent link: https://www.econbiz.de/10011053714
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A novel evolutionary algorithm for dynamic economic dispatch with energy saving and emission reduction in power system integrated wind power
Liao, Gwo-Ching - In: Energy 36 (2011) 2, pp. 1018-1029
An optimization algorithm is proposed in this paper to solve the economic dispatch problem that includes wind farm … comparing the proposed algorithm with several other algorithms commonly used to solve optimization problems, the results show …
Persistent link: https://www.econbiz.de/10010808127
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Hybrid SOA–SQP algorithm for dynamic economic dispatch with valve-point effects
Sivasubramani, S.; Swarup, K.S. - In: Energy 35 (2010) 12, pp. 5031-5036
This paper proposes a hybrid technique combining a new heuristic algorithm named seeker optimization algorithm (SOA …
Persistent link: https://www.econbiz.de/10010810558
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A Dynamic Economic Dispatch Model Incorporating Wind Power Based on Chance Constrained Programming
Cheng, Wushan; Zhang, Haifeng - In: Energies 8 (2014) 1, pp. 233-256
on chance constrained programming is presented and an improved particle swarm optimization (PSO) approach is proposed to …
Persistent link: https://www.econbiz.de/10011106597
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Integrating Neural Network and Colonial Competitive Algorithm: A New Approach for Predicting Bankruptcy in Tehran Security Exchange
Abdipour, Sajad; Nasseri, Ahmad; Akbarpour, Mojtaba; … - In: Asian Economic and Financial Review 3 (2013) 11, pp. 1528-1539
Bankruptcy filings are as high today as ever, calling into question the efficacy of existing bankruptcy prediction models. This paper tries to provide an alternative for bankruptcy prediction by integrated Multi Layered Perceptron with Imperialist Competitive Algorithm (MLP-ICA) and Kohonen self...
Persistent link: https://www.econbiz.de/10010685358
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Analyzing the Influence of Maturity of Organization on Organizational Agility in Industrial Companies. Case of Study: Fakour Industrial Company
Attafar, Ali; Barzoki, Ali Shaemi; Radmehr, Reza - In: International Journal of Academic Research in … 3 (2013) 1, pp. 418-427
In recent years, computer has become powerful tool for prediction of economical and financial variables. Different techniques of topics related to artificial intelligence, machine learning, and expert systems extended their place in the economic and financial issues that among these issues can...
Persistent link: https://www.econbiz.de/10010706187
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Modeling and Forecasting Stock Prices Using an Artificial Neural Network and Imperialist Competitive Algorithm
Rezaiedolatabadi, Hossein; Sayadi, Saeed; Hosseini, … - In: International Journal of Academic Research in … 3 (2013) 1, pp. 296-302
In recent years, computer has become powerful tool for prediction of economical and financial variables. Different techniques of topics related to artificial intelligence, machine learning, and expert systems extended their place in the economic and financial issues that among these issues can...
Persistent link: https://www.econbiz.de/10010706242
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Optimal Control of a Dispatchable Energy Source for Wind Energy Management
D’Amico, Guglielmo; Petroni, Filippo; Sobolewski, … - In: Stochastics and Quality Control 34 (2019) 1, pp. 19-34
turbines. We determine the optimal quantity by solving a static optimization problem taking into account the possible …
Persistent link: https://www.econbiz.de/10014591037
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Optimal Design of Reliability Acceptance Sampling Plan Based on Sequential Order Statistics
Kumar, Mahesh; Ramyamol, P. C. - In: Stochastics and Quality Control 34 (2019) 2, pp. 87-94
Abstract The concept of sequential order statistics were introduced by Kamps in 1995. In this article, we derive an acceptance sampling plan, for units having exponentially distributed lifetime, using sequential order statistics. Based on data obtained from progressive type II censoring using...
Persistent link: https://www.econbiz.de/10014591040