Abstract This paper introduces a multi-objective variant of the marine predators algorithm (MPA) called improved (MOIMPA), which incorporates concepts from Quantum theory. By leveraging theory, MOIMPA aims to enhance MPA’s ability balance between exploration and exploitation find optimal solutions. The utilizes concept inspired by Schrödinger wave function determine position particles in search...

Aim Geographic variation in body size and heterozygosity were surveyed for discrete populations of the ant lion, Myrmeleon immaculatus DeGeer, collected from the central and northeastern United States. Location Collection sites were located in the central and eastern United States ranging from western Oklahoma to northern New York. Methods We collected 872 M. immaculatus larvae from thirty-four...

This paper addresses the optimal power flow problem in direct current (DC) networks employing a master–slave solution methodology that combines an optimization algorithm based on multiverse theory (master stage) and numerical method of successive approximation (slave stage). The master stage proposes levels to be injected by each distributed generator DC network, slave evaluates impact configur...

Predicting the electrical power (PE) output is a significant step toward sustainable development of combined cycle plants. Due to effect several parameters on simulation PE, utilizing robust method high importance. Hence, in this study, potent metaheuristic strategy, namely, water algorithm (WCA), employed solve issue. First, nonlinear neural network framework formed link PE with influential pa...

This paper proposes an efficient load frequency control (LFC) technique based on a fractional-order proportional–integral–derivative–accelerator with low-pass filter compensator (FOPIDA-LPF) controller, which can also be accurately referred to as the PIλDND2N2 controller. A trustworthy metaheuristic optimization algorithm, known gray wolf optimizer (GWO), is used fine-tune suggested controller ...

The heap-based optimizer (HBO) is an innovative meta-heuristic inspired by human social behavior. In this research, binary adaptations of the B_HBO are presented and used to determine optimal features for classifications in wrapping form. addition, HBO balances exploration exploitation employing self-adaptive parameters that can adaptively search solution domain solution. feature selection doma...

Systems of nonlinear equations are known as the basis for many models engineering and data science, their accurate solutions very critical in achieving progress these fields. However, solving a system with multiple equations, usually, is not an easy task. Consequently, finding robust solution can be challenging problem complex systems. In this work, novel hybrid method namely Newton-Harris hawk...