This paper proposes a novel military philosophy inspired meta-heuristic algorithm called
democratic joint operations algorithm (DJOA), which attempts to find the optimal parameters …

This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …

In this study, the effects of copper nanoparticles are taken into account to create a new
hybrid metaheuristic for solving the nonlinear MHD Jeffery-Hamel blood flow problem. Since …

When plug-in electric vehicles (PEVs) participate in grid operation, the intertemporal feature
of PEVs charging transforms the traditional optimal power flow (OPF) problem into …

In this study a novel application of neurocomputing technique is presented for nonlinear fluid
mechanics problem arising in the model of the flow over stretchable rotating disk in the …

In this work, an intelligent computing algorithm is developed for finding the approximate
solution of heart model based on nonlinear Van der Pol (VdP)-type second-order ordinary …

In the present study, bio-inspired computational heuristics are exploited for finding the
solution of economic load dispatch (ELD) problem with valve point loading effect using …

This paper proposes a novel accelerating bio-inspired optimizer (ABO) associated with
transfer reinforcement learning (TRL) to solve the reactive power optimization (RPO) in large …

Abstract The Optimal Reactive Power Flow (ORPF) problem has been used as an important
computational tool for power system planning and operation. Its mixed-discrete version …

There is increasing evidence of the shortage of solver-based models for solving logically-
constrained AC optimal power flow problem (LCOPF). Although in the literature the heuristic …