The paper brings to light an early contribution to the cash-in-advance literature made by the Brazilian economist Mario Henrique Simonsen (1935–1997) in an article written in Portuguese as far back as 1964. Simonsen ...
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The purpose of this thesis is to efficiently solve real life problems. We study LPs. We study an NLP and an MINLP based on what is known as the generalised pooling problem (GPP), and we study an MIP that we call the c...
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The purpose of this thesis is to efficiently solve real life problems. We study LPs. We study an NLP and an MINLP based on what is known as the generalised pooling problem (GPP), and we study an MIP that we call the cattle mating problem. These problems are often very large or otherwise difficult to solve by direct methods, and are best solved by decomposition methods. During the thesis we introduce algorithms that exploit the structure of the problems to decompose them. We are able to solve row-linked, column-linked and general LPs efficiently by modifying the tableau simplex method, and suggest how this work could be applied to the revised simplex method. We modify an existing sequential linearprogramming solver that is currently used by Format International to solve GPPs, and show the modified solver takes less time and is at least as likely to find the global minimum as the old solver. We solve multifactory versions of the GPP by augmented Lagrangian decomposition, and show this is more efficient than solving the problems directly. We introduce a decomposition algorithm to solve a MINLP version of the GPP by decomposing it into NLP and ILP subproblems. This is able to solve large problems that could not be solved directly. We introduce an efficient decomposition algorithm to solve the MIP cattle mating problem, which has been adopted for use by the Irish Cattle Breeding Federation. Most of the solve methods we introduce are designed only to find local minima. However, for the multifactory version of the GPP we introduce two methods that give a good chance of finding the global minimum, both of which succeed in finding the global minimum on test problems
This paper describes a brokerage model for multi-period generation schedule in the interconnected power system based on the non-linear formulations. The security constraints and transmission losses are considered in t...
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ISBN:
(纸本)0780347544
This paper describes a brokerage model for multi-period generation schedule in the interconnected power system based on the non-linear formulations. The security constraints and transmission losses are considered in this model. We use nonlinearprogramming to get the most profitable value according to the power flow in the transmission net and the marginal cost offered by clients. The transaction schedules for a 6 bus system with a pump-station and a 30 bus system are calculated to demonstrate the effect of the proposed model.
This paper presents the optimization based cost comparison between reinforced concrete and doubly-symmetrical welded steel I beams. The task of the research was to define the spans at which each of two different consi...
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ISBN:
(纸本)9781845641061
This paper presents the optimization based cost comparison between reinforced concrete and doubly-symmetrical welded steel I beams. The task of the research was to define the spans at which each of two different considered structures would show its advantages. The optimization/comparison was performed for simply supported beams for spans between 5 and 30 meters and for a uniformly distributed variable imposed load of 5 kN/m. The structural optimization was performed by the nonlinearprogramming (NLP) approach. The cost objective function was defined for the optimization and subjected to structural analysis constraints. The structures were designed in accordance with Eurocodes for both the ultimate and serviceability limit states. Beside the optimal self-manufacturing costs, the results also include the optimal masses for the different considered structures.
The principal goal of this study is to explore the performance of a residential grid-connected system which relies on economic and environmental aspects. A wind turbine (WT), photovoltaic generator (PV), and energy st...
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ISBN:
(纸本)9781665425483
The principal goal of this study is to explore the performance of a residential grid-connected system which relies on economic and environmental aspects. A wind turbine (WT), photovoltaic generator (PV), and energy storage system (ESS) with reducing the cost of energy to pay the utility grid (UG) under Time-of-Use (TOU) pricing is conducted to investigate the efficiency of the system. The model can provide an opportunity for the consumer to sell the energy to the supplier, especially during high price periods. As the battery has a substantial effect on the operational cost of the system, the daily operating cost of the battery and the effect of the degradation are incorporated in the energy management strategy (EMS). The simulation results prove the effectiveness of the suggested approach in which the new objective function achieves the maximum cost-saving compared to a baseline technique as well as the lowest Green House Gas (GHG).
We study multi-level optimization problem on energy system, transportation system and informa- tion network. We use the concept of boundedly rational user equilibrium (BRUE) to predict the behaviour of users in system...
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We study multi-level optimization problem on energy system, transportation system and informa- tion network. We use the concept of boundedly rational user equilibrium (BRUE) to predict the behaviour of users in systems. By using multi-level optimization method with BRUE, we can help to operate the system work in a more efficient way. Based on the introducing of model with BRUE constraints, it will lead to the uncertainty to the optimization model. We generate the robust optimization as the multi-level optimization model to consider for the pessimistic condition with uncertainty. This dissertation mainly includes four projects. Three of them use the pricing strat- egy as the first level optimization decision variable. In general, our models' first level's decision variables are the measures that we can control, but the second level's decision variables are users behaviours that can only be restricted within BRUE with uncertainty.
This thesis builds an optimization decision model that can be used to determine the optimum ratio of the two vehicles that the Army and Marine Corps can purchase to minimize costs while taking into account constraints...
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This thesis builds an optimization decision model that can be used to determine the optimum ratio of the two vehicles that the Army and Marine Corps can purchase to minimize costs while taking into account constraints related to each vehicles' capabilities, such as required off-road capabilities and transport ease for missions supported by the services. The proposed optimization decision model is a cost minimizing non-linear programming model that also accounts for changes in the average production cost of each type of vehicle by embedding a cumulative average cost formula into the objective function of the model.
In this research project, we provide a method in which we incorporated a nonlinear model to allocate consolidated automated support system (CASS) stations utilizing real demand. In reviewing available literature, we f...
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In this research project, we provide a method in which we incorporated a nonlinear model to allocate consolidated automated support system (CASS) stations utilizing real demand. In reviewing available literature, we frame the allocation of CASS stations as a problem of discrete capacity allocation with stochastic demand, and note that similar problems exist in the allocation of other types of service capacity (e. g., hospital beds). We employed a nonlinear model to present a better method for allocation. Currently, NAVAIR PMA 260 uses an algebraic formula to determine CASS station allocation. The nonlinear model takes into account factors that the algebraic formula does not, such as aircraft readiness and CASS station utilization. With the model, we generated an optimized allocation of CASS stations based on average demand from aircraft maintenance action forms received at a Fleet Readiness Center over a given period of time. Then, we demonstrate that the optimized allocation can account for monthly, non- stationary demand inputs, as potentially seen in a fleet response plan. Compared to the current allocation of the Fleet Readiness Center analyzed, the optimized allocation improves CASS station utilization rates with a decreased overall number of CASS stations, without an adverse change in aircraft readiness.
In order to improve the energy efficiency, reduce the CO2 emission and decrease the cost, a cogenera- tion system for desalination water, heat and power production was studied in this paper. The superstructure of the ...
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In order to improve the energy efficiency, reduce the CO2 emission and decrease the cost, a cogenera- tion system for desalination water, heat and power production was studied in this paper. The superstructure of the cogeneration system consisted of a coal-based thermal power plant （TPP）, a multi-stage flash desalination （MSF） module and reverse osmosis desalination （RO） module. For different demands of water, heat and power production, the corresponding optimal production structure was different. After reasonable simplification, the process model ot each unit was built. The economical model, including the unit investment, and operation and maintenance cost, was presented. By solving this non-linear programming （NLP） model, whose objective is to minimize the annual cost, an optimal cogeneration system can be obtained. Compared to separate production systems, the optimal system can reduce 16.1%-21.7% of the total annual cost. showing this design method was effective.
The problem of allocating munitions from M weapons systems to N target complexes is studied and a review of pertinent literature is presented. An algorithm for the solution of the problem in the special case of two we...
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The problem of allocating munitions from M weapons systems to N target complexes is studied and a review of pertinent literature is presented. An algorithm for the solution of the problem in the special case of two weapons systems against N targets is developed and programmed for computerized solution. The results of an example problem are shown and tested. Discussion of the algorithm's extension to more than two weapons systems is included as are alternative solution techniques.
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