The Aquila Optimizer (AO) is a metaheuristic algorithm that is inspired by the hunting
behavior of the Aquila bird. The AO approach has been proven to perform effectively on a …

In this study, a novel parameter estimation method for permanent magnet synchronous
motor (PMSM) of chaotic particle swarm optimization with dynamic self-optimization …

The width spread is one of the key indices affecting hot rolling processes and product
quality. The traditional Shibahara spread prediction model (SSM) does not take into account …

This research work projects a novel quasi-oppositional chaotic student psychology-based
optimization (SPBO)(QOCSPBO) algorithm for solving global optimization problems. To …

The offspring selection strategy is the core of evolutionary algorithms, which directly affects
the method's accuracy. Normally, to improve the search accuracy in local areas, the …

Opposition-based learning (OBL) is often embedded in intelligent optimization algorithms to
solve practical engineering and mathematical problems, but the combinatorial problems …

Unlike the conventionally fueled vehicles used in the transportation system, electric vehicles
emit zero carbon content or any hazardous discharge as they are highly environmentally …

In the realm of Educational Technology, personalized learning is pivotal, yet predicting
students' learning abilities based on learning styles and ICT remains challenging. We …

Been trapped by local minimums is an important problem in no-linear optimization problems,
which is blocking evolutionary algorithms to find the global optimum. Normally, to increase …

The evolutionary algorithms with shuffling concept divide a population into several groups
and then each group try to evolve its members in an independent evolutionary process. In …