Optimization problem

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Elementary Landscape Decomposition of the Hamiltonian Path Optimization Problem

Elementary Landscape Decomposition of the Hamiltonian Path Optimization Problem

... Landscape theory has been proven to be quite effective computing summary statistics of the optimization problem. Sutton et al. [14] show how to compute statistical moments over spheres and balls of ...

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Solving a Real-World Structural Optimization Problem With a Distributed SMS-EMOA Algorithm

Solving a Real-World Structural Optimization Problem With a Distributed SMS-EMOA Algorithm

... Abstract—This paper addresses a real-world optimization problem 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 ...

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Solving the Time-Ahead Pricing of Energy Supply Problem with Nonlinear Utility Function for Consumers via a Bilevel Optimization Approach

Solving the Time-Ahead Pricing of Energy Supply Problem with Nonlinear Utility Function for Consumers via a Bilevel Optimization Approach

... 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 ...

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In the Task Driven Generation of Preventive Sensing Plans for Execution of Robotic Assemblies

In the Task Driven Generation of Preventive Sensing Plans for Execution of Robotic Assemblies

... the problem of deciding a sequence of camera motions into a multi-objective optimization problem that is solved in two phases: a local phase that reduce the set of potential viewpoints to small sets ...

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Applicability of deterministic global optimization to the short-term hydrothermal coordination problem

Applicability of deterministic global optimization to the short-term hydrothermal coordination problem

... 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 ...

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Models, algorithms, and heuristics for multiobjective commercial territory design

Models, algorithms, and heuristics for multiobjective commercial territory design

... the optimization problem 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 ...

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Motion Cooperation: Smooth Piece-Wise Rigid Scene Flow from RGB-D Images

Motion Cooperation: Smooth Piece-Wise Rigid Scene Flow from RGB-D Images

... 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 ...

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Optimization of analog integrated circuits including variations

Optimization of analog integrated circuits including variations

... 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 ...

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A nonserial dynamic programming model with an application to the optimal design of distribution networks

A nonserial dynamic programming model with an application to the optimal design of distribution networks

... 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] ...

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Meta-Heuristic Algorithm based on Ant Colony Optimization Algorithm, Tabu Search and Project Scheduling Problem (PSP) for the Traveling Salesman Problem

Meta-Heuristic Algorithm based on Ant Colony Optimization Algorithm, Tabu Search and Project Scheduling Problem (PSP) for the Traveling Salesman Problem

... 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 ...

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A Self-Adaptive Evolutionary Approach to the Evolution of Aesthetic Maps for a RTS Game

A Self-Adaptive Evolutionary Approach to the Evolution of Aesthetic Maps for a RTS Game

... the problem of generating aesthetic maps turned into an optimization problem about min- imizing the distance between generated and aesthetics maps while maximizing their distance to non-aesthetic ...

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Optimization of a mechanical design problem with the modified bacterial foraging algorithm

Optimization of a mechanical design problem with the modified bacterial foraging algorithm

... such optimization problem, 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 ...

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Multiobjetive optimization co-evolution for the job shop scheduling problem

Multiobjetive optimization co-evolution for the job shop scheduling problem

... This presentation will show the design, implementations and results of a co-evolutive approaeh solving a multiobjeetive optimization problem involving the makespan, maehine [r] ...

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Hyperparameter optimization for large-scale machine learning

Hyperparameter optimization for large-scale machine learning

... hyperparameter optimization problem with a special focus on algorithms and how their characteristics adapt to tasks with large ...Bayesian optimization process gets worse as more machines are ...

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NUMERICAL OPTIMIZATION OF GEOMETRICAL DIMENSIONS AND DETERMINATION OF MATERIAL PARAMETERS FOR VIOLIN TOPS

NUMERICAL OPTIMIZATION OF GEOMETRICAL DIMENSIONS AND DETERMINATION OF MATERIAL PARAMETERS FOR VIOLIN TOPS

... 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 ...

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bellman

bellman

... infinite-period optimization problem to a two-period opti- mization ...the optimization problem (1)? Here is where the textbooks I mentioned above are less clear 1 ...

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Recession methods for generalized vector equilibrium problems

Recession methods for generalized vector equilibrium problems

... vector optimization problem, 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, ...

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From metaheuristics to learnheuristics: Applications to logistics, finance, and computing

From metaheuristics to learnheuristics: Applications to logistics, finance, and computing

... 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 ...

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State of the Art for the Optimization and Simulation of the Distribution of Hydrocarbons

State of the Art for the Optimization and Simulation of the Distribution of Hydrocarbons

... horizon optimization problem 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 ...

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INFERENCE BASED ON OLS

INFERENCE BASED ON OLS

... solution of an optimization problem subject to restrictions... Detour: Wald vs..[r] ...

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