Today, intelligent optimization has become a science that few researchers have not used in
dealing with problems in their field. Diversity and flexibility have made the use, efficiency …

In the literature, different types of inclined planes system optimization (IPO) algorithms have
been proposed and evaluated in various applications. Due to the large number of variants …

Optimization plays a key role in various disciplines of science in order to achieve the optimal
solution among all available solutions. Innovation and contribution of this paper is in …

This paper introduces a new human-based metaheuristic algorithm called Sewing Training-
Based Optimization (STBO), which has applications in handling optimization tasks. The …

The usage of conventional fossil fuels has aided fast economic growth while also having
negative consequences, such as increased global warming and the destruction of the …

In this paper, Deep Neural Networks (DNN) with Bat Algorithms (BA) offer a dynamic form of
traffic control in Vehicular Adhoc Networks (VANETs). The former is used to route vehicles …

Numerous optimization problems designed in different branches of science and the real
world must be solved using appropriate techniques. Population-based optimization …

At present, optimization algorithms are used extensively. One particular type of such
algorithms includes random-based heuristic population optimization algorithms, which may …

Population-based optimization algorithms are one of the most widely used and popular
methods in solving optimization problems. In this paper, a new population-based …

This paper introduces a new metaphor-free metaheuristic called attack-leave optimizer
(ALO). As the name suggests, ALO deploys two strategies to find the optimal solution. The …