Multiskalen-Algorithmus, integrierte Prozess- und Ablaufplanung, reaktive Ablaufplanung, Co-evolutionäre Algorithmen …, Fuzzy-Set-Theorie. - Multiscale algorithm, integrated process planning and scheduling, reactive scheduling, co …-evolutionary algorithm, fuzzy set theory …

optimal algorithm for workflow scheduling poses a significant challenge due to the complexity and variability of tasks and … Whale Optimization Algorithm" (PWOA) to overcome the above-mentioned problem by combining Particle Swarm Optimization (PSO …) and Whale Optimization Algorithm (WOA). PSO's limitation in high-dimensional search spaces, characterized by slow …

trade the stocks. In this paper, we introduce a Reinforcement Learning based approach to develop a trading agent which … applied different On-policy Reinforcement Learning Algorithms such as Vanilla Policy Gradient (VPG), Trust Region Policy …

We examine how machine learning can be used to improve and understand human decision-making. In particular, we focus on … released. This is a promising machine learning application because it is a concrete prediction task for which there is a large … volume of data available. Yet comparing the algorithm to the judge proves complicated. First, the data are themselves …

barycentric model in the space of probability measures. Moreover, a machine learning type procedure for model selection, based in …

general scheduling algorithm is still in its infancy. Mimicking the natural evolutionary process of the survival of the … routines then build solutions to the original problem.In our previous indirect GAs, learning is implicit and is restricted to … needed to construct a schedule and using fixed rules at each move is thus unreasonable and not coherent with human learning …

This paper will give a brief overview of the work of introducing machine learning intelligence in the Kineta e … techniques have been implemented in the system and evaluated. As of late we have investigated the use of manifold learning; a …

to learn from price innovations, but this adverse effect can be circumvented by learning from a collection of assets that …