... Landscape theory has been proven to be quite effective computing summary statistics of the optimizationproblem. Sutton et al. [14] show how to compute statistical moments over spheres and balls of ...
... Abstract—This paper addresses a real-world optimizationproblem in civil engineering. It lies in the dimensioning of a 162m long bridge composed of 1584 bars so that both its weight and its deformation are ...
... Swarm Optimization algorithm based on a fuzzy bilevel model for the creation of electric market strategies on a daily basis (day-ahead electricity market strategies making), in which every generating factory ...
... the problem of deciding a sequence of camera motions into a multi-objective optimizationproblem that is solved in two phases: a local phase that reduce the set of potential viewpoints to small sets ...
... direct problem formulations are not convenient, and it is thus necessary to transform them into alternative ones that are more suitable for algo- rithmic ...global optimization methods it is essential to ...
... the optimizationproblem addressed in this work is NP-hard, it is possible to solve medium-size instances by applying the exact pro- cedure discussed in Chapter ...the problem, the exact solution ...
... In this section, qualitative and quantitative results are presented to evaluate the accuracy of our approach. These results are divided into two categories: scene segmentation and scene flow estimation. However, the ...
... are optimization techniques based on the biological evolution and the natural selection of the species theory presented by ...solve optimization problems, it means, maximizing or minimizing one or more ...
... Based on the concept of spatial dynamic program- ming 5 , a somewhat different model is presented for the solution of the main (primary) optimization.. problem.[r] ...
... salesman problem (TSP) [10] models the situation of a travelling salesman who is required to pass through a number of cities without visiting twice the same city, so that the total travelling distances be minimal ...
... the problem of generating aesthetic maps turned into an optimizationproblem about min- imizing the distance between generated and aesthetics maps while maximizing their distance to non-aesthetic ...
... such optimizationproblem, where the best possible combination of values to a set of parameters that describe the system are seek, requires a kinematic analysis as a first ...Otherwise, optimization ...
... This presentation will show the design, implementations and results of a co-evolutive approaeh solving a multiobjeetive optimization problem involving the makespan, maehine [r] ...
... hyperparameter optimizationproblem with a special focus on algorithms and how their characteristics adapt to tasks with large ...Bayesian optimization process gets worse as more machines are ...
... above-mentioned optimization system, for estimation of important material parameters for individual violin tops is ...thru optimization, what the material parameters must be. In this optimization ...
... infinite-period optimizationproblem to a two-period opti- mization ...the optimizationproblem (1)? Here is where the textbooks I mentioned above are less clear 1 ...
... vector optimizationproblem, it is known as vector equilibrium problem (for short, VEP) and it has been the focus of attention of many researchers in the recent years; see, for example, ...
... benefits without the implied disadvantages to an investor. Bansal et al. (2014) calculate the ef- ficient frontier for an investment portfolio made up of indices of commodity futures and stocks and find it to lie above ...
... horizon optimizationproblem was defined, where the free response prediction of the pipeline was obtained from a pipeline simulator, and the optimal values of the decision variables were obtained by solving ...