The simulation-driven metaheuristic algorithms have been successful in solving numerous
problems compared to their deterministic counterparts. Despite this advantage, the …

Harris Hawks optimization (HHO) algorithm was a powerful metaheuristic algorithm for
solving complex problems. However, HHO could easily fall within the local minimum. In this …

This paper presents archimedes optimization algorithm (AOA) and dispersive flies
optimization (DFO) to optimally tune gain parameters of PID control scheme in order to …

Numerical comparison serves as a major tool in evaluating the performance of optimization
algorithms, especially nondeterministic algorithms, but existing methods may suffer from a …

Direct Current (DC) motors are broadly used in various industrial applications such as
robotics, automobiles, toys and for many other motoring purposes. This is attributable to their …

The depletion of fossil fuel reserves, increasing environmental concerns, and energy
demands of remote communities have increased the acceptance of using hybrid renewable …

This article considered the redundancy allocation problem (RAP) in repairable
heterogeneous systems composed of k-out-of-n: G subsystems with a limited number of …

Firefly algorithm is among the nature-inspired optimization algorithms. The standard firefly
algorithm has been successfully applied to many engineering problems. However, this …

The joint decision-making of order acceptance and scheduling has recently gained
increasing attention. Besides, the two-stage assembly scheduling problem has various real …

This paper presents the application of a human-based metaheuristic soft computing method,
Driving TrainingBased optimization (DTBO) algorithm, for optimal tuning of PID controller in …