IEEE

Automatic programming via large language models with population self-evolution for dynamic fuzzy job shop scheduling problem

Abstract: Heuristic dispatching rules (HDRs) are widely used for solving the dynamic fuzzy job shop scheduling problem (DFJSSP). However, their performance is highly sensitive to specific scenarios ...
Frontiers

Study on multi-scenario and multi-water source allocation in Henan water supply area of Yellow River considering extreme drought

Drought is a common and complex natural disaster. In the past 50 years, 34% of the people affected by natural disasters in the world have been affected by drought (World Meteorological Organization ...
Scientific Research Publishing

A Review of Intelligent Optimization Algorithms in Supply Chain Networks ()

1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...
Scientific Research Publishing

Cai, W., Chen, S. and Zhang, D. (2007) Fast and Robust Fuzzy C-Means Clustering Algorithms Incorporating Local Information for Image Segmentation. Pattern Recognition, 40, 825-838.

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...
IEEE

Robust random fuzzy portfolio selection model with Arbitrage Pricing Theory using TS fuzzy reasoning method

Abstract: This paper proposes a robust-based mean-variance portfolio selection problem with random fuzzy returns using a fuzzy reasoning method, particularly a standard TS fuzzy reasoning method.