... optimization marine transportation china government bayesian optimization surrogate model new sample point optimal solution reservoir simulation optimization algorithm asia government parallel efficient global optimization algorithm iteration artificial intelligence ei function kriging model...

... efficiency of ship operation. Hou et al. (2021) proposed that the research in this field has certain practical significance. ground transportation evolutionary algorithm asia government artificial intelligence diesel engine optimal solution china government ship power system fuel consumption...

... neural network optimization hyperparameter artificial intelligence marine transportation deep learning optimization problem control point accuracy mlp approximation model total resistance coefficient mlp model optimization algorithm optimal solution approximation model approximate...

... to solve the model to obtain the Pareto optimal solution set that satisfies the objective function, and then the entropy method is also introduced to select the best location plan from the Pareto optimal solution set. The model is applied to the site selection of an emergency rescue site in coastal waters...

... that the improved algorithm can not only safely avoid seabed terrain obstacles in the three-dimensional environment; but also the ability to find the optimal solution and the convergence speed are greatly improved. Introduction With the development of society and economy; the value of the ocean is increasingly...

... envelope objective evolutionary algorithm engineering riser module size configuration operability window pareto optimal solution scenario metamodel drilling riser system multi-objective optimization optimal solution Proceedings of the Thirty-first (2021) International Ocean and Polar...

.... It avoids the problem that the algorithm converges to the local optimal solution. The Dubins curve was used to optimize the obtained path under the consideration of AUV dynamic constraints. Finally, under the environment of known obstacles and ocean currents, the effects of the classic evolutionary...

... ABSTRACT In this paper, a methodology for designing mooring system optimal deployment for varying water depth is proposed, in which the Sorting Genetic Algorithm-II (NSGA-II) is combined with a self-developed MAT-LAB code to find the optimal solution within several requirements and constraints...

... optimization design based on uncertainty has been developed. Uncertainty optimization design is a methodology of searching optimized solution in the design space, according to the robustness and reliability (Oberkampf, et al., 2004; Sahinidis, N. V., 2004). Compared with traditional deterministic optimization...

... of reliability assessment and optimization, which improves the efficiency of reliability-based optimization. PSO method guarantees the efficiency of calculating global optimal solution in the optimization part of SORA. Kriging model substitutes for time-consuming finite element model calculation in the process...

..., and the search space is not continuous. Therefore it is difficult to perform optimization based on numerical simulation to obtain global optimal solution. The non-gradient optimization methods such as genetic algorithm and simulated annealing method require much simulation time. An optimization method based...

.... platform optimization optimization problem optimal solution particle swarm optimization cylinder particle control parameter air transportation stability optimization algorithm integral time constant evolutionary algorithm 6-dof flight simulator fitness function value flight simulator...

... machine learning optimal solution offshore wind farm artificial intelligence operation genetic algorithm complexity commercial software wind turbine foundation evolutionary algorithm availability maintenance renewable energy Offshore Wind farm layout optimization State of the art Pedro...

.... multi-objective optimization design variable algorithm initial model mise stress approximation model shipbuilding artificial intelligence multi-island genetic algorithm optimal solution optimization problem optimization marine transportation ultimate strength multiple load case ultimate...

... total cost of pile foundation as the objective function. The global optimal solution (GOS) is first found by the exhaustive searching method (ESM). The GOS is a base for verifying the performance of different searching methods. The real genetic algorithm (RGA) is then proposed to globally search...

... problem only has three decision variables without constraints, and thus is much easier to handle than the original problem. Please bear in mind that the solution space for the simplified problem is only a subset of the original problem s solution space, and thus the optimal solution for the simplified...

... & scheduling algorithm immunology machine learning obstacle path planning optimal solution pmk antibody immune genetic algorithm evolutionary algorithm mutation operation optimization problem pkl trajectory new immune genetic algorithm health & medicine autonomous underwater vehicle...

... by optimization. Formulating the problem in the proposed way has several benefits: 1. The formulation defines the optimal solution and makes comparison of different routes very easy. This is useful in the route planning task. 2. By choosing a suitable optimization algorithm and implement it as a software tool...