This paper proposes a two-step optimization algorithm to carry out simultaneously an optimal size and topology synthesis of truss-like 2D structures made of strain softening materials, which invariably would cause sev...
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In the large-scale industrial processes, there are more slow perturbations. So the mathematical model of an actual system is difficult to be accurate. When optimizing large-scale industrial processes, the mathematical...
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This research paper suggests novel hybrid methods for the distributed generators (DGs) allocation in distribution network to minimize system loss. The proposed methods employ JAYA optimization algorithm in combination...
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Large group decision making considering multiple attributes is imperative in many decision areas. The weights of the decision makers (DMs) is difficult to obtain for the large number of DMs. To cope with this issue, a...
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Large group decision making considering multiple attributes is imperative in many decision areas. The weights of the decision makers (DMs) is difficult to obtain for the large number of DMs. To cope with this issue, an integrated multiple-attributes large group decision making framework is proposed in this article. The fuzziness and hesitation of the linguistic decision variables are described by interval-valued intuitionistic fuzzy sets. The weights of the DMs are optimized by constructing a non-linear programming model, in which the original decision matrices are aggregated by using the interval-valued intuitionistic fuzzy weighted average operator. By solving the non-linear programming model with MATLAB®, the weights of the DMs and the fuzzy comprehensive decision matrix are determined. Then the weights of the criteria are calculated based on the information entropy theory. At last, the TOPSIS framework is employed to establish the decision process. The divergence between interval-valued intuitionistic fuzzy numbers is calculated by interval-valued intuitionistic fuzzy cross entropy. A real-world case study is constructed to elaborate the feasibility and effectiveness of the proposed methodology.
By 2020 renewable energy should account for 20% of the EU's final energy consumption in order to reduce the effects of climate change. Biomass-based fuels contribute to this effort. The new sophisticated optimizat...
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ISBN:
(纸本)9781456303112
By 2020 renewable energy should account for 20% of the EU's final energy consumption in order to reduce the effects of climate change. Biomass-based fuels contribute to this effort. The new sophisticated optimization approach introduced in this paper supports sustainable biomass-based fuels integration into the existing energy system. Besides environmental effects, biomass co-firing is also economically beneficial under particular conditions. The plant involved in the case study produces approximately 3400 TJ of heat and 460 GWh of electricity per annum. It secures delivery of heat to residential areas, public institutions and industrial enterprises. First, the conditions for effective biomass utilization are identified using mid-term operation planning (one year, time step of one month) procedure (optimum amount of fuels burned in every boiler with maximum profit with respect to export limitation). Then sensitivity analysis of parameters such as fuel prices, energy prices and government subsidies for renewable energy production is performed in order to find conditions appropriate for biomass utilization. The plant model was built and validated using real operation data which enhances its practical application. A limited resource of various types of biomass over a year represents typical inventory type constraints and makes the problem multi-period. Some of the equalities representing transformation functions (e.g. input-output model of boiler and turbine) and inequalities representing limitations (e.g. biomass availability, boiler capacity) in the model are nonlinear and therefore it is non-linear programming problem (NLP). Even though a phenomenon of increased biomass utilization for energy production is discussed world-wide, effective biomass integration using advanced optimization techniques is rarely solved. The model introduced in this paper is implemented in GAMS (General Algebraic Modeling System). It is high-level modeling system, which provides an environm
This paper presents some results related to the operation of the Itaipu hydropower plant. Itaipu is one of the largest hydropower plants in the world. It is a binational undertaking run by Brazil and Paraguay at the P...
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The paper presents the cost optimization design of simply supported reinforced concrete beams of rectangular cross-section reinforced with tension reinforcement. The optimization was formulated as finding the minimum ...
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ISBN:
(纸本)9781615673766
The paper presents the cost optimization design of simply supported reinforced concrete beams of rectangular cross-section reinforced with tension reinforcement. The optimization was formulated as finding the minimum self-manufacturing cost of the beam subjected to the structural analysis constraints based on Eurocode provisions for the conditions of both the ultimate and the serviceability limit states. The developed cost objective function of the self-manufacturing costs includes the material and labour costs. The structural optimization was performed by the nonlinear programming approach. To demonstrate the applicability of the proposed approach an example of a simply supported reinforced concrete rectangular beam of different spans and variable uniformly distributed imposed load is presented.
Unlike real-world filmmaking, the camera track in 3D animated films is more complicated. The location and shooting angle of the virtual camera need to be more accurately computed to achieve the correct delivery of inf...
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Fuzzy logic control presents a computationally efficient and robust alternative to conventional controllers. An expert in a particular system can usually design a fuzzy logic controller for it easily as can be seen in...
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This paper introduces a novel dynamic modeling framework that integrates nonlinear programming and state transition graph algorithms to analyze the temporal progress and prioritization of Sustainable Development Goals...
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