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 ...
Tag: multi-objective optimization
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 CO₂ laser cutting of PMMA
A combined neural network and gray relational analysis framework identified optimal CO₂ 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 ...
Learning-based hybrid method improves circular e-waste network optimization
A learning-based hybrid optimization method reduced median normalized IGD+ by 60.6% versus standard NSGA-II in a modeled circular e-waste supply ...
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 ...
Genetic Algorithm Sculpts Compact High-Frequency Transformer for Solid-State Power Conversion
A constraint-driven multi-objective optimization framework produced a nanocrystalline high-frequency transformer whose design was verified by finite-element analysis and a 150 ...
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 ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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