The Clustered Shortest-Path Tree Problem (CluSPT) plays an important role in various types of optimization problems real-life. Recently, some Multifactorial Evolutionary Algorithms (MFEAs) have been introduced to deal with the CluSPT, but these researches still shortcomings, such as evolution operators only perform on complete graphs and huge resource consumption for finding solution large sear...

Many clustering methods highly depend on extracted features. In this paper, we propose a joint optimization framework in terms of both feature extraction and discriminative clustering. We utilize graph regularized sparse codes as the features, and formulate sparse coding as the constraint for clustering. Two cost functions are developed based on entropy-minimization and maximum-margin clusterin...

Regional cross-border electricity trading is popular in price and cooperation. It a reliable path to alleviate the shortage of power supply during rapid economic growth. As an important export commodity, pricing options for hydropower directly relate cooperation intention business parties. This study demonstrates formation methods internal relationships cascade stations CBET. To simulate decisi...

This paper is concerned with the bi-objective problem in searchbased software engineering for high-level decision-making. The paper presents bi-objective models for next release problem and modularization quality problem that characterized by the presence of two conflicting demands, for which the decision maker must find a suitable balance. The complex nature of such kind of problem has motivat...

Image thresholding is a challenging task in image processing field. Many efforts have already been made to propose universal, robust methods to handle a wide range of images. This paper introduces a new optimization-based thresholding approach. The optimizer, Differential Evolution (DE) algorithm, minimizes dissimilarity between the input grey-level image and the bi-level (thresholded) image. T...