Solar and Wind Hybrid Systems Advance Off-Grid Agricultural Cold Storage
A systematic review evaluates techno-economic optimization of solar-wind-battery hybrid systems to power off-grid agricultural cold storage in developing regions.
Tag: Multi-objective optimization
Broker Algorithm Optimizes Cloud VM Scheduling Through SLA Negotiation
A new study reports a broker-based SLA negotiation framework using Hybrid Leader-Based Optimization to select cloud service providers and schedule ...
Climate Risks Shrink the Menu of Viable Options in Europe’s Largest Pine Plantation Forest
A new optimization study of France's Landes de Gascogne maritime pine forest shows that climate change narrows the set of ...
Machine learning and blockchain team up to cut supply chain costs and carbon
A new study combines Random Forest prediction, linear programming optimization and blockchain transaction recording to balance supply chain costs and ...
Data-driven model finds optimal extrusion recipe for Bi85Sb15 thermoelectric alloy
A combined response-surface and genetic-algorithm framework identified eight ECAE passes at 73.8 °C as the optimal processing condition for Bi85Sb15 ...
Foamed Concrete Gets a Data-Driven Makeover for Low-Carbon Building
A new review maps how statistical and AI-based optimization, coupled with life cycle assessment, can balance strength, durability and carbon ...
AI Tool Optimizes Homestay Layouts for Older Guests Using Floor Plans
A closed-loop AI framework combines SegNet segmentation, space syntax analysis, and hybrid NSGA-II–Simulated Annealing optimization to generate age-friendly homestay renovation ...
AI Model Predicts Strength and Surface Quality of 3D-Printed PLA Parts
A hybrid RVFL-HGSO machine learning model achieved a coefficient of determination (R2) of 98.95 percent in predicting the surface roughness ...
Robotic welding study finds optimal settings for medium-carbon steel joints
A robotic welding study combined a Box-Behnken design, response surface modeling and desirability-function optimization to identify five optimal parameter sets ...
Tree Forks Become Structural Nodes in Parametric Timber Construction Workflow
Researchers built a parametric workflow that scans tree forks, matches their fork-angle statistics to digitally optimized structures, and fabricated three ...
AI Moves 3D Printed Concrete From Open Loop to Closed Loop
A review of 58 studies finds artificial intelligence reshaping 3D printed concrete across material design, printing process control, and structural ...
Hybrid bee–genetic algorithm tames power flow in renewable and EV grids
A hybrid bee-colony and genetic algorithm with physics-informed neural network screening plans electricity dispatch in wind-, solar-, and electric-vehicle-rich grids ...
Machine Learning Model Finds Optimal Conditions for Energy-Efficient CO2 Capture with Oil Palm Ash
A Gaussian process surrogate model trained on 346 fixed-bed adsorption experiments was coupled with genetic and swarm-based optimization to balance ...
Nature-Inspired Algorithms Reshape Cloud Task Scheduling, Review Finds
A new review maps the evolution of cloud task scheduling algorithms, from classical heuristics to nature-inspired meta-heuristics and hybrids, and ...
Machine learning and gray relational analysis optimize COâ‚‚ laser cutting of PMMA
A combined neural network and gray relational analysis framework identified optimal COâ‚‚ laser cutting settings for PMMA, cutting machining time ...
Robust Optimization Framework Tames Uncertainty in Smart EV Parking Lot Energy Management
A hybrid optimization algorithm reduced simulated EV parking lot operational costs by 17.7% and peak grid dependency by 36.3% under ...
Physics-informed AI reduces operational CO₂ in façade design study
A computational study found climate-dependent double-skin façade designs that reduced operational CO₂ emissions by 13–23% in Tashkent and 8–20% in ...
Vertical-Axis Wind Turbines Need Power, Noise and Load Designed Together, Review Finds
A critical review finds that dynamic stall, vortex shedding and blade-wake interaction simultaneously govern the power, cyclic loading and noise ...
AI Framework Designs Fly Ash Geopolymer Concrete Balancing Strength, Cost and CO2
A new study combines CTGAN-generated synthetic data, hybrid machine learning, SHAP explainability, reliability analysis and multi-objective optimization to design fly ...
Fuel Additives Could Boost Biogas Engine Power, Simulation Study Finds
A simulation study of HCCI engines reports that optimized blends of methanol, ethanol and acetone could raise biogas engine power ...
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