The algorithm keeps running to update Kriging and find the most potential samples until the satisfactory solution is obtained. KDGO is primarily developed to solve time-consuming black-box problems with various discrete cases including binary, integer, non-integer, uni/multimodal and box/inequality-...
BITEOPT is a free open-source stochastic non-linear bound-constrained derivative-free optimization method (algorithm, heuristic, or strategy) for global optimization. The name "BiteOpt" is an acronym for "BITmask Evolution OPTimization". The benefit of this method is a relatively high robustness: ...
In this paper , we present a novel parametric surfaces intersection algorithm based on discrete surfels. 提出了一种基于点元的参数曲面求交交互式新算法. 来自期刊摘选 4. Finally, in order to deal with continuous attributes, a variety of discrete method was discussed. 接着针对粗集只能处理离散化的...
Evolutionary Algorithms (EAs) have been applied successfully in combinatorial discrete optimization. Here, the mathematical basics of real-coding Genetic Algorithm are presented in addition to three other Evolutionary Algorithms: Particle Swarm Optimization (PSO), Ant Colony Algorithms (ACOA) and Harmony ...
To solve this combinatorial problem, a novel hybrid discrete gray wolf optimization algorithm (HD-GWO) is presented. It utilizes strong global search operators along with several novel walking-around procedures each of which is aware of resource dimensional skew-ness and explores discrete search space...
However, projection distortion and singularities in discrete global grids mean that such simple orientations may not be sufficient for all use cases. Here, I present an algorithm for finding suitable orientations; this involves solving a nonconvex optimization problem. As a side-effect of this ...
Spiral Optimization Population of n particles moving in a spiral pattern around the best position. Convex Function Non-convex Function Genetic Algorithm Evolutionary algorithm selecting the best individuals in the population, mixing their parameters to get new solutions. Convex Function Non-convex Fun...
Backpropagation: The error is propagated backward through the network, adjusting the weights and biases using an optimization algorithm like gradient descent. This step is repeated iteratively to minimize the loss function and improve the model’s accuracy. It is worth noting that ANN is selected he...
必应词典为您提供Discrete-optimization的释义,un. 离散最优化; 网络释义: 离散最佳化;离散优化;离散优化问题;
2) global optimization 全局最优化 1. Study on class of filled functions forglobal optimization; 求全局最优化问题的一类填充函数 2. A descent algorithm forglobal optimization; 全局最优化问题的下降算法 3. The Method of Filled Functions with Single Parameter for Global Optimization and its Convergence;...