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We consider the multidimensional knapsack problem (MKP) with min-max regret criterion under interval profits. We examine three typical algorithms widely applied for min-max regret criterion: fixed-scenario approach, Benders-like decomposition and branch-and-cut. We further propose a new heuristic framework, which we call the iterated dual substitution algorithm. Computational experiments on a wide...
Large-scale numerical simulations are more and more widely applied in product design and optimization. One example are simulations for dry-type transformers which have growing applications in the transformer market because this technology is non-flammable, safer and environmental friendly when compared to their liquid-immersed competitors. However, dry-type transformer units typically suffer from...
The study of start-up performance for a direct internal reforming molten carbonate fuel cell (DIR-MCFC) system is presented. Since a kW-class stack is assembled with an additional preheating design, the improvement of start-up behavior is conducted to find the proper operating strategy. For a cold start-up fuel cell system, both start-up delay and inverse response are strictly detected. When the optimum...
A broad range of embedded networked sensor (ENS) systems for critical environmental monitoring applications now require complex, high peak power dissipating sensor devices, as well as on-demand high performance computing and high bandwidth communication. Embedded computing demands for these new platforms include support for computationally intensive image and signal processing as well as optimization...
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