Optimal land use allocation with the intention of ecosystem services provision and
biodiversity conservation is one of the key challenges in agricultural management …

This study optimizes and evaluates a Photovoltaic-Wind-Battery/Electric Vehicle Charging
Station (PVWB/EVCS) system using four Multi-Objective Optimization (MOO) techniques …

This study presents a multi-objective optimization approach for designing hybrid renewable
energy systems for electric vehicle (EV) charging stations that considers both economic and …

Optimal operation of reservoir systems is the most important issue in water resources
management. It presents a large variety of multi-objective problems that require powerful …

The importance of multi-objective optimization in hybrid nanofluid research lies in its wide-
ranging applications across fields such as microelectronics, aerospace, and renewable …

This study presents an innovative approach to mitigating seismic responses in multi-storey
buildings equipped with a base-isolation (BI) system and passive friction-tuned mass …

This paper presents a new approach for object reconstruction by means of smooth NURBS
curves and surfaces. Compared to the common object reconstruction algorithms that first, fit …

This paper presents computationally an efficient multi-objective reliability-based design
optimization (RBDO) method for composite structures with uncertain design parameters. The …

SAR images are inherently affected by speckle noise, and although attempts made earlier to
remove speckle succeeded, there is still the challenge of preserving the edges of images …

This paper investigates the highly nonlinear relationship between process parameters and
machining responses, including material removal rate (MRR), surface roughness (SR), and …