The writers aim to develop a new optimization framework that integrates resilience in biofuel infrastructure systems planning, which provides a proactive solution in mitigating the impacts of natural hazards on infras...
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The writers aim to develop a new optimization framework that integrates resilience in biofuel infrastructure systems planning, which provides a proactive solution in mitigating the impacts of natural hazards on infrastructure systems. A novel, multiobjective stochastic mixed-integer programming model is developed to establish a biofuel infrastructure system that is effective and resilient in hedging against potential hazards through integrating four dimensions of resilience, as follows: (1)robustness, (2)rapidity, (3)redundancy, and (4)resourcefulness. As a case study, the model is used to evaluate the infrastructure requirements for cellulosic ethanol production from biomass wastes in California, which is prone to seismic hazards. An average of 19% overall system cost reduction can be achieved under seismic hazards by using the developed model over common engineering methods without resilience consideration. (C) 2013 American Society of Civil Engineers.
The design of a water distribution network (WDN) is conceptually a multiobjective problem characterized by stringent constraints. Even in its most simple formulation, which requires only the maintenance of minimum pre...
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The design of a water distribution network (WDN) is conceptually a multiobjective problem characterized by stringent constraints. Even in its most simple formulation, which requires only the maintenance of minimum pressures, it is difficult to solve, and the simplifications introduced often impair the practicality of the solutions. The paper aims at integrating an engineering approach to the optimization problem by generating pseudofronts in the hydraulically feasible region of the search space. The optimization algorithms provide an entirely feasible trade-off between cost and considered constraints, which may be directly used by a hypothetical decision maker. This engineering approach requires a fast tool to search for feasible solutions: the recently developed genetic heritage by stochastic evolution transmission (GHEST) algorithm, used herein, has proved to be effective and efficient in solving the optimal design problem of WDNs. Tests are carried out on two large-size water distribution networks (Balerma and Modena), using the GHEST algorithm, modified to account for several objectives. (C) 2014 American Society of Civil Engineers.
The practice of waste-load allocation in water quality management involves several noncommensurate and conflicting objectives. In particular, the objectives considered in this multiobjective stochastic waste-load allo...
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Because of its complexity from both a legal and economic standpoint, the problem of optimal waste load allocation is multiobjective by nature and should be treated accordingly. To perform this task, an optimization te...
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Like any other resources planning and management, groundwater management is performed in a stochastic environment in which the system itself involves a number of random elements. Consequences as a result of decisions ...
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