Derivative-based algorithms often progress slowly when there is a large number of parameters. If the gradient is being evaluated numerically, then each iteration of the optimization requires as many function evaluations as there are parameters. The space to be searched is vast, so a large number ...
A Heuristic Evaluation is a usability inspection technique where usability experts evaluate the user interface of a product against a set of Heuristics
Heuristic algorithms have popularly been implemented for many practical applications as they are designed to provide an alternative framework for solving a problem in contrast with a set of restricted rules-constraints that cannot vary. Although heuristic approaches do not guarantee to provide optimal sol...
As we mentioned earlier, RL techniques are usually affected by large state spaces, which directly impacts the performance of the aforementioned algorithms in terms of the time to compute a solution and memory usage. In this sense, the use of non-linear functions to approximate Q(s,a) has ...
We discuss the mainstream directions of Evolutionary Algorithms (EA), a class of stochastic search and optimisation techniques with heuristic character. EA have recently attracted many researchers and practitioners, not only in the management domain, due to their applicability to very complex problems. ...
The \(K\)-means method, however, is delicate to the choice of beginning points and might be unable to group huge databases. Many experts have concentrated on swarm intelligence algorithms to address the drawbacks of the K-means technique, which can do a simultaneous search in a complicated ...
对于ADP算法,iterative algorithms of ADP 主要可以被分为两类,一种需要initial stable policy; 另一种是不需要initial stable policy的。后者以牺牲系统稳定性为代价,使得算法的计算量更小。许多论文都提供了其开发算法的收敛性分析。在最后,本文会指出几个未来的研究方向。
The primary goal is to determine the best inventory policy to maximise total profit per unit of time. Though the problem is highly nonlinear in nature. Hence, we cannot solve it analytically. To overcome these difficulties, we have applied several well-known popular metaheuristic algorithms (Water...
s ideas and proposed that the rationality of a decision depends on structures found in the environment. People are “ecologically rational” when they make the best possible use of limited information-processing abilities, by applying simple and intelligent algorithms that can lead to near-optimal ...
Henrion, M.: "An introduction to algorithm for inference in belief nets". M.Henrion, R.Shachter, L.Kanal, J.Lemmer (ed), Uncertainty in Artificial Intelligence 5 (MIPR10), Elsevier, North Holand, 1990, 129-138, 990.Max Henrion. An introduction to algorithms for inference in belief ...