Optimization is a method which is used in every field, such as engineering, space, finance,
fashion market, mass communication, travelling, and also in our daily activities. In every …

In recent years, significant attentions have been devoted to design of metaheuristic
optimization algorithms in order to solve optimization problems. Metaheuristic optimizers are …

This paper introduces HLOA, a novel metaheuristic optimization algorithm that
mathematically mimics crypsis, skin darkening or lightening, blood-squirting, and move-to …

In this study, we introduce the pied kingfisher optimizer (PKO), a novel swarm-based meta-
heuristic algorithm that draws inspiration from the distinctive hunting behavior and symbiotic …

Hybrid heuristic algorithm (HA), an innovative technique in the machine learning field,
enhances the accuracy of reference evapotranspiration (ETo) prediction, which is of …

Abstract Development of hybrid renewable energy system has become a challenging task
considering the intermittencies of renewables and multi-dimensional designing aspects (for …

As a frequent natural disaster, landslides incur significant economic and human losses
worldwide. The main idea of this paper is to propose novel integrative models for landslide …

In this study, an optimal design and analysis of an integrated internal reforming Solid Oxide
fuel cell (IRSOFC)-Gas Turbine (GT)–Organic Rankine Cycle (ORC) system are …

In the future, electric vehicles (EVs) are anticipated to dominate the urban transportation
sector. To lessen the operational risk of existing distribution networks due to massive …

Purpose This study aims to present a unique hybrid metaheuristic approach to solving the
nonlinear analysis of hall currents and electric double layer (EDL) effects in multiphase wavy …