Shaping advanced materials such as superalloys and metal matrix composites is still a herculean task for the engineering fraternity. People are developing innovative manufacturing processes (MPs) to shape kind of materials. Electrical arc machining (EAM) one subtractive MP which under development stage. The present paper discusses newly developed process named vibration assisted EAM (VEAM). on ...

Proper management of solar energy as an effective renewable source is high importance toward sustainable harvesting. This paper offers a novel sophisticated method for predicting irradiance (SIr) from environmental conditions. To this end, efficient metaheuristic technique, namely electromagnetic field optimization (EFO), employed optimizing neural network. algorithm quickly mines publicly avai...

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...

It is well known that 0-1 knapsack problem (KP01) plays an important role in both computing theory and many real life applications. Due to its NP-hardness, lots of impressive research work has been performed on many variants of the problem. Inspired by region partition of items, an effective hybrid algorithm based on greedy degree and expectation efficiency (GDEE) is presented in this paper. In...

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. ...