ANN-guided cooling cuts model-predicted EV battery thermal risk
A neural-network surrogate paired with differential evolution reduced model-predicted EV battery thermal risk by 94.8% across charging rates from 0.5C ...
A neural-network surrogate paired with differential evolution reduced model-predicted EV battery thermal risk by 94.8% across charging rates from 0.5C ...
Researchers have developed a hierarchical evolutionary deep reinforcement learning algorithm that optimizes influence spreading on multilayer hypergraphs, where group interactions ...
The Rubik's Cube has long served as a demanding benchmark for autonomous systems precisely because it compresses so many difficulties ...
Hydrogen is often described as the fuel of the future, but getting it out of storage quickly remains one of ...
A comparative study of nine optimization algorithms shows that evolutionary methods like NSGA-II and NSGA-III, combined with surrogate modeling, can ...
A new two-stage differential evolution algorithm that borrows the foraging behavior of squirrels outperforms leading optimization methods on standard benchmarks ...
A unified benchmarking framework comparing seven metaheuristics across six engineering plants and classical baselines finds that solver rankings reverse across ...
Researchers used Differential Evolution-optimized machine learning to predict the compressive strength of fly ash and waste glass powder geopolymers with ...
A comprehensive review of 204 studies and new experiments on the CEC 2024 benchmark show that non-linear population size reduction ...
Researchers in China have developed a magpie-inspired optimization algorithm that plans shorter, smoother, and safer three-dimensional drone flight paths, outperforming ...
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© 2025 Scienmag - Science Magazine