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Iterative numerical optimization is a ubiquitous tool to design optical nanostructures. However, there can be a significant performance gap between the numerically simulated results, with pristine shapes, and the experim...

Abstract Biological load-bearing materials, like the nacre in shells, have a unique staggered structure that supports their superior mechanical properties. Engineers have been encouraged to imitate it to create load-bear...

This paper proposes a novel deterministic optimization approach for the Unit Commitment problem (UC), involving thermal generating units. A mathematical programming model is first presented, which includes all the basic ...

Abstract An increasing number of researchers have researched fixture layout optimization for thin-walled part assembly during the past decades. However, few papers systematically review these researches. By analyzing exi...

Abstract Pressure fluctuation due to rotor-stator interaction in turbomachinery is unavoidable, inducing strong vibration in the equipment and shortening its lifecycle. The investigation of optimization methods for an in...

In this work, we investigate the effects of estimation uncertainties in the optimization of the optical signal-to-noise ratio (OSNR) at the wavelength division multiplexing (WDM) optical networks. The OSNR optimization i...

Ising machines, including quantum annealing machines, are promising next-generation computers for combinatorial optimization problems. However, due to hardware limitations, most Ising-type hardware can only solve objecti...

Abstract The design of aircraft hydraulic pipeline system is limited by many factors, such as the integrity of aviation structure or narrow installation space, so the limited clamp support position should be considered. ...

This article examines the concept of Generative Engine Optimization (GEO) in the context of the transformations enabled by the integration of generative artificial intelligence into contemporary information search an...

Abstract Current research on autonomous mobile robots focuses primarily on perceptual accuracy and autonomous performance. In commercial and domestic constructions, concrete, wood, and glass are typically used. Laser and...

Abstract A parameterized dynamics analysis model of legged lander with adaptive landing gear was established. Based on the analysis model, the landing performances under various landing conditions were analyzed by the op...

Abstract Vertical picking method is a predominate method used to harvest cotton crop. However, a vertical picking method may cause spindle bending of the cotton picker if spindles collide with stones on the cotton field....

Over the past decade, artificially engineered optical materials and nanostructured thin films have revolutionized the area of photonics by employing novel concepts of metamaterials and metasurfaces where spatially varyin...

ObjectiveTo develop and validate a quantitative framework for optimizing maritime renewable energy integration, advancing SDG 7 targets through improved deployment efficiency and socioeconomic impact assessment.Theoretic...

Abstract Background The residential building sector is a major contributor to Germany’s greenhouse gas emissions. Over 60 % of the energy used for space and domestic hot water heating comes from fossil fuels sources a...

Abstract Blank holder force (BHF) is a crucial parameter in deep drawing, having close relation with the forming quality of sheet metal. However, there are different BHFs maintaining the best forming effect in different ...

Abstract Robot-automated spraying is widely used in various fields, such as the automotive, metalworking, furniture, and aerospace industries. Spraying quality is influenced by multiple factors, including robot speed, ac...

This paper investigates secure and energy-efficient multi-user symbiotic radio (SR) communication assisted by an active reconfigurable intelligent surface (ARIS). We consider a downlink multi-user unicast scenario where ...

Abstract Inventory management is a core part of supply chains, and over the years it has been increasingly challenged by the need to balance economic performance with environmental considerations. While prior reinforceme...

Ammonia/diesel blended fuel significantly reduces carbon emissions, but it has issues such as high unburned ammonia emissions and low combustion efficiency. To achieve the goals of carbon peak and carbon neutrality, this...

ObjectiveTo address the problems of a single-objective optimization easily falling into local optima and the insufficient coordination between the collision detection and the planning in the obstacle avoidance trajectory...

Silicon photonics enables compact integrated photonic devices with versatile functionalities and mass manufacturing capability. However, the optimization of high-performance free-form optical devices is still challenging...

We show that deep generative neural networks, based on global optimization networks (GLOnets), can be configured to perform the multiobjective and categorical global optimization of photonic devices. A residual network s...

Abstract This paper proposes an optimal design for a surface mounted permanent magnet synchronous machine (SM-PMSM) based on parametric optimization process to reduce the on-load Back-EMF distortions caused by an increas...