SYNBADm is a Matlab toolbox for the automated design of biocircuits using a model-based optimization approach. It enables the design of biocircuits with pre-defined functions starting from libraries of biological part...
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SYNBADm is a Matlab toolbox for the automated design of biocircuits using a model-based optimization approach. It enables the design of biocircuits with pre-defined functions starting from libraries of biological parts. SYNBADm makes use of mixedinteger global optimization and allows both single and multi-objective design problems. Here we describe a basic protocol for the design of synthetic gene regulatory circuits. We illustrate step-by-step how to solve two different problems: (1) the (single objective) design of a synthetic oscillator and (2) the (multi-objective) design of a circuit with switch-like behavior upon induction, with a good compromise between performance and protein production cost. less
Supply chain design has been an extensively researched area of study especially given how companies all around the world seek to optimize system performance. The past years have highlighted the importance of creating ...
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Supply chain design has been an extensively researched area of study especially given how companies all around the world seek to optimize system performance. The past years have highlighted the importance of creating lean supply chains in order to reduce costs and improve efficiency. However, the uncertainties brought by the COVID19 pandemic have challenged global supply chains with constraints on labor and capacity. Decision makers are now focusing on creating a balance between agile and lean systems because of these disruptions. A mixed integer nonlinear programming (MINLP) model for the design of supply chains under a pandemic scenario has been developed in this regard. The model considers uncertainties brought about by the imposition of government restrictions on the operations of supply chains. Specifically, the model integrates forecasts on the likely degree of restrictions that may be imposed on a given network. It then examines the interdependency between infection trends and uncertainties on customer demand, operational capacity, and facility connections. Scenarios involving different infection trend types were used to test model behavior and variable relationships. The numerical experiments yielded results showing that supply chains need to anticipate and hedge against increasing infection trends. Failure to do so could lead to incurring as much as 18% in additional total system costs. The experiments further demonstrated that additional facilities with low setup costs but higher operating costs could be selected as insurance for possible declines in operating capacity or abrupt spikes in demand.
Open shop scheduling problems (OSSP) are highly significant in engineering and industry, involving critical scheduling challenges. The job type determines the duration required for material transfer between machines a...
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This paper deals with Benders’ Decomposition techniques applied to Volt Var Control algorithms for MV distribution networks. This partitioning technique helps to solve certain classes of mixedintegernonlinear Progr...
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ISBN:
(纸本)9781467356688
This paper deals with Benders’ Decomposition techniques applied to Volt Var Control algorithms for MV distribution networks. This partitioning technique helps to solve certain classes of mixed integer nonlinear programming problems with decomposable structure. Therefore, this approach can be applied to the standard case of Volt Var Control algorithms in distribution systems which use continuous and discrete control variables. Considering the mathematical properties of prior algorithms, such as mixed continuous and discrete variables, Bender’s Decomposition techniques allow an effective global optimum research. The effectiveness of this method is tested on the academic 30 bus distribution system and on a typical French MV network with 150 nodes/ 149 lines/ 5 onload tap changers transformers/ 3 DGs/ 1 capacitor bank.
In this paper, a mixed integer nonlinear programming (MINLP) based model is proposed for optimal allocation of thyristor controlled phase angle regulator (TCPAR). The optimization is conducted to minimize overall syst...
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ISBN:
(纸本)9781424487790
In this paper, a mixed integer nonlinear programming (MINLP) based model is proposed for optimal allocation of thyristor controlled phase angle regulator (TCPAR). The optimization is conducted to minimize overall system cost (i.e. operating cost and investment cost of TCPAR). The rating of TCPAR is first obtained based on N-1 contingency analysis. The impact of optimal placement of TCPAR has also been investigated by means of several security and reliability indices. The simulations are carried out on the Roy Billinton test system (RBTS) to show the effectiveness of adding TCPAR.
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