Titlebook: Applications of Evolutionary Computation; 20th European Confer Giovanni Squillero,Kevin Sim Conference proceedings 2017 Springer Internatio

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Reference work Oct 20051st editiong optimum efficiently. However, continuously tracking a moving optimum is not practical in many real-world problems because changing solutions frequently is not possible or very costly. Recently, another practical way to tackle DOPs has been suggested: robust optimization over time (ROOT). In ROOT,

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Encyclopedia of Database Systemsicular, customer data may not be known with certainty. Before the beginning of the day, probability distributions on customer data are used to compute a first-stage solution that optimizes an expected cost. Customer data are revealed online, while the solution is executed, and a recourse strategy is

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Active and Real-Time Data Warehousinge may waste computational resources whereas a small colony size may restrict the searching capabilities of the algorithm. There is a trade off in the behaviour of the algorithm between the early and later stages of the optimization process. A smaller colony size leads to better performance on shorte

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Active and Real-Time Data Warehousingnsional bin packing problem in the online case where items are not known well in advance and they have to be packed in real-time when they arrive. This is relevant in many real-world scenarios such as automated cargo loading in warehouses. This is also relevant in the new logistics model of Physical

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Active and Real-Time Data Warehousing database (IMDB) technology to expedite the search process subject to change events arising at runtime. The implemented system benefits from optimization knowledge persisted on an IMDB serving as associative memory to better guide the optimizer through changing environments. For this, specific strat

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R. Schulz‐Wendtland,K. Anders,W. Bautzal (PDOA) technique a prominent choice. Predicting the location of an unknown RF emitter can be seen as a continuous optimization problem, minimizing the error w.r.t. the sensor measurements gathered. Most instances of this problem feature multi-modality, making these challenging to solve. This pape

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Encyclopedia of Diagnostic Imagingman expert, providing out of the box software that can be used by novices. In this study the automated design of genetic programming classification algorithms is proposed. A number of design decisions have to be considered by algorithm designers during the design process and this is usually a time c

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