Energy is one of the most fundamental elements today’s economy. It becoming more important day by with technological developments. In order to plan energy policies countries and prevent climate change crisis, CO2 emissions must be under control. For this reason, estimation has become an factor for researchers scientists. study, a new hybrid method was developed using optimization methods. The S...

As energy systems become increasingly complex, there is a growing need for sustainable and efficient management strategies that reduce greenhouse gas emissions. In this paper, multi-energy (MES) have emerged as promising solution integrates various sources enables sharing between different sectors. The proposed model based on using an Attractive Repulsive Shuffled Frog-Leaping (ARSFL) algorithm...

in this paper, we propose a new gene selection algorithm based on shuffled frog leaping algorithm that is called sfla-fs. the proposed algorithm is used for improving cancer classification accuracy. most of the biological datasets such as cancer datasets have a large number of genes and few samples. however, most of these genes are not usable in some tasks for example in cancer classification. ...

In order to realize the fault diagnosis of the polyvinyl chloride (PVC) polymerization kettle reactor, a rough set (RS)–probabilistic neural networks (PNN) fault diagnosis strategy is proposed. Firstly, through analysing the technique of the PVC polymerization reactor, the mapping between the polymerization process data and the fault modes is established. Then, the rough set theory is used to t...

Automatic text summarization is a topic of great interest in many fields knowledge. Particularly, query-oriented extractive multi-document methods have increased their importance recently, since they can automatically generate summary according to query given by the user. One way address this problem multi-objective optimization approaches. In paper, memetic algorithm, specifically Multi-Object...