82 research outputs found

    Scaling up genetic circuit design for cellular computing:advances and prospects

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    The self-organizing fractal theory as a universal discovery method: the phenomenon of life

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    A universal discovery method potentially applicable to all disciplines studying organizational phenomena has been developed. This method takes advantage of a new form of global symmetry, namely, scale-invariance of self-organizational dynamics of energy/matter at all levels of organizational hierarchy, from elementary particles through cells and organisms to the Universe as a whole. The method is based on an alternative conceptualization of physical reality postulating that the energy/matter comprising the Universe is far from equilibrium, that it exists as a flow, and that it develops via self-organization in accordance with the empirical laws of nonequilibrium thermodynamics. It is postulated that the energy/matter flowing through and comprising the Universe evolves as a multiscale, self-similar structure-process, i.e., as a self-organizing fractal. This means that certain organizational structures and processes are scale-invariant and are reproduced at all levels of the organizational hierarchy. Being a form of symmetry, scale-invariance naturally lends itself to a new discovery method that allows for the deduction of missing information by comparing scale-invariant organizational patterns across different levels of the organizational hierarchy

    Mixed integer programming models for fire fighting

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    In this paper, a set of mixed integer programming (MIP) models to optimize the location of a set of resources when fighting fire is proposed. The MIP model integrates fire spread and the decisions relative to the resources location.Four problems are considered: protecting specific areas, minimizing the total burned area, and two problems of fire containment (depending on the definition of fire containment: no new ignitions in a given time interval or resources located in all the fire perimeter). A small example is used to illustrate the solutions to these problems.A transformation of the optimization problem of determining fire arrival times in a feasibility problem, based on linear programming duality, is also proposed. This transformation is used in all the MIP models, assuring the correctness of the fire arrival times in all the areas of the landscape.This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT - Fundacao para a Ciencia e Tecnologia within the Project Scope: UID/CEC/00319/2013
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