The development of efficient optimization algorithms is crucial across various scientific
disciplines. As the complexity and diversity of optimization problems continue to grow …

In this study, an integrated framework of artificial neural networks (ANNs) and metaheuristic
algorithms have been developed for the prediction of biochar yield using biomass …

Abstract This paper proposes Komodo Mlipir Algorithm (KMA) as a new metaheuristic
optimizer. It is inspired by two phenomena: the behavior of Komodo dragons living in the …

Although they are among the most researched real world engineering design problems, it is
encountered with significant problems in the optimization of structural truss bar problems …

Bipedal robots are gaining significant attention due to their wide range of applications in
various fields such as manufacturing, transportation, rehabilitation, and many others …

This paper proposes a novel optimization method for solving real-world optimization
problems. It is inspired by a cooperative human phenomenon named the mountaineering …

The primary objective of this study is to delve into the application and validation of the
Resistance Capacitance Optimization Algorithm (RCOA)—a new, physics-inspired …

Introducing a novel meta-heuristic optimization algorithm, the Flood Algorithm (FLA) draws
inspiration from the intricate movement and flow patterns of water masses during flooding …

Hole making is an important phase in composite machining as structural applications of
composites require assemblage. To do so, abrasive waterjet machining (AWM) is …

The performance of the solar photovoltaic (PV) system can be improved by an accurate
modelling of the solar cells, but cell modelling is inaccurate due to the lack of precise solar …