… In here, an AdaptiveDynamicProgramming based algorithm is proposed, capable of … Xu “Fuzzy-BasedGoalRepresentationAdaptiveDynamicProgramming,” IEEE Trans. Fuzzy …
Y Liu, T Li, Q Shan, R Yu, Y Wu, CLP Chen - Neurocomputing, 2020 - Elsevier
… The control objective of this paper is to design a time-based ADP consensus control policies u i ( k ) to make MASs achieve consistency and minimize the performance index (5). …
S Brindha - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
… This article presents an improved Multi-objective Differential Evolution based algorithm to solve multi-objective optimization problems. In the proposed algorithm named as Fuzzy …
… , the learners of the fuzzy-based system achieved their respective learning goals with a lower number of interactions and in less time. Furthermore, the adaptive sequence of lessons is …
… An optimal adaptive fuzzy is carried out as an optimized EMS to benefit from the optimization algorithm, improving power saving. The primary purpose of the proposed adaptive FL-…
C Wu, H Song, C Yan, Y Wang - Journal of Intelligent & Fuzzy …, 2017 - content.iospress.com
… We show that dynamic prototype allocation and adaptation can give better results by reducing these … We conclude that fuzzy Kanerva Coding with prototype tuning and adaptation can …
… (ITS) through Adaptive Web-Based Education Systems (AWBESs). The objective of ITS is to … User modelling is one of the key factors that can meet the ITS intended objectives. From the …
… point in solution space is encoded into chromosomes represented by a binary bit string. The fitness function used in GA is mapped to the objective function of the original problem. A set …
… a novel data-driven robust adaptivedynamicprogramming (RADP) … In addition, fuzzy-based and derivative algorithms [1]… with experts experience, and fuzzybased method [1] attains a 40…