Fuel cell vehicles (FCVs) should control the energy management between two sources for fuel economy, using stored in a battery or generation of through system. The economy an FCV includes trip costs hydrogen consumption and lifetime sources. This paper proposes implementable strategy to reduce costs. concept proposed is first analyze allowable current system from optimal strategies various init...

In stochastic optimal control the distribution of the exogenous noise is typically unknown and must be inferred from limited data before dynamic programming (DP)-based solution schemes can be applied. If the conditional expectations in the DP recursions are estimated via kernel regression, however, the historical sample paths enter the solution procedure directly as they determine the evaluatio...

Pit stops are a key element of racing strategy in several motor sports. Typically, these involve decisions such as which laps to stop, and type tire, three possible compounds, set at each stops. There factors that increase the complexity task: impact lap times depending on tire compound, wear tires, unexpected events track safety cars weather, among others. This work presents Dynamic Programmin...

To improve the detection efficiency of a long-distance dim point target based on dynamic programming (DP), this paper proposes multi-frame algorithm merit function filtering DP ring (MFF-DPR). First, to reduce influence noise pixel state estimation results, second-order named MFF-DP is proposed. The current states pixels an image plane are estimated by maximizing addition functions previous two...

Our investigation into the production substitution between products is motivated by a significant issue faced firms in practice: effective balance of setup and cost. Given that can adjust an operation policy to lower costs or both, manager should also know how best make adjustment. Thus, this study, we consider class dynamic lot sizing problems with one-way two-way product modes under durable p...

In the last few years, Reinforcement Learning (RL), also called adaptive (or approximate) dynamic programming (ADP), has emerged as a powerful tool for solving complex sequential decision-making problems in control theory. Although seminal research in this area was performed in the artificial intelligence (AI) community, more recently, it has attracted the attention of optimization theorists be...

We propose an approach for matching deformed and occluded shapes using Dynamic Programming (DP). Our algorithms handle noise and shape distortions by allowing matching of merged sequences of consecutive small segments in a shape, with larger segments of another shape, while being invariant to translation, scale and orientation transformations of shapes. We illustrate the effectiveness of our al...

the dynamic facility layout problem (dflp) is the problem of finding positions of departments onthe plant floor for multiple periods (material flows between departments change during the planning horizon)such that departments do not overlap, and the sum of the material handling and rearrangement costs isminimized. in this paper a new optimization algorithm inspired from colonizing weeds, invasi...

Dynamic Parallelism (DP) is a GPU programming abstraction that can make parallel computation more efficient for problems exhibit heterogeneous workloads. With DP, threads launch kernels with threads, recursively, producing subdivision effect where resources are focused on the regions work. Doing an optimal process not trivial, as combination of different parameters play relevant role in final p...

In this paper, a heuristic improvement of the truncated window dynamic programming (DP-VW) has been studied for the unit commitment application. The proposed method employs a variable window size according to load demand increments, and corresponding experimental results indicate a substantial saving in the computation time without sacrificing the quality of the solution. An iterative process f...