The rapid pace of developments in Artificial Intelligence (AI) is providing unprecedented
opportunities to enhance the performance of different industries and businesses, including …

Despite the wide application of evolutionary computation (EC) techniques to rule discovery
in stock algorithmic trading (AT), a comprehensive literature review on this topic is …

In this article, an Improved Grey Wolf Optimizer (I-GWO) is proposed for solving global
optimization and engineering design problems. This improvement is proposed to alleviate …

Machine learning develops rapidly, which has made many theoretical breakthroughs and is
widely applied in various fields. Optimization, as an important part of machine learning, has …

In this article, an effective metaheuristic algorithm named multi-trial vector-based differential
evolution (MTDE) is proposed. The MTDE is distinguished by introducing an adaptive …

Although the concept of transportation electrification holds enormous prospects in
addressing the global environmental pollution problem, in reality the market penetration of …

This article proposes a novel metaheuristic algorithm called Volleyball Premier League
(VPL) inspired by the competition and interaction among volleyball teams during a season. It …

Over the past half-century, Optimal Power Flow (OPF) has become one of the most important
and widely studied nonlinear optimization problems. In general, OPF seeks to optimize the …

Brain computer interface (BCI) systems are used in a wide range of applications such as
communication, neuro-prosthetic and environmental control for disabled persons using …

Over the past half-century, Optimal Power Flow (OPF) has become one of the most important
and widely studied nonlinear optimization problems. In general, OPF seeks to optimize the …