Evolutionary Algorithms Emerge as Best Tools for Greener, Cheaper Flyover Design
A comparative study of nine optimization algorithms shows that evolutionary methods like NSGA-II and NSGA-III, combined with surrogate modeling, can ...
A comparative study of nine optimization algorithms shows that evolutionary methods like NSGA-II and NSGA-III, combined with surrogate modeling, can ...
A CFD-driven multi-objective optimization of 192 shell-and-tube heat exchanger configurations shows how Marun furnace exhaust heat at 973 K can ...
A new optimization framework shows that combining smart incentive policies with green bitcoin mining, power-to-gas conversion, and complementary hybrid renewables ...
Researchers have combined non-negative matrix factorization with multi-objective particle swarm optimization to create a community detection algorithm that achieves perfect ...
Researchers in China have developed GSCMO, a dual-population evolutionary algorithm that uses entropy and neighborhood information to guide solution generation ...
Researchers have reformulated multi-class classification as a many-objective problem in which each class is a separate goal, using evolutionary neural ...
A new hybrid optimization framework balances makespan, energy consumption, and machine workload in Industry 4.0 flexible job shops, outperforming leading ...
Researchers have developed CMOEA-TSD, a three-population, two-stage evolutionary algorithm that significantly outperforms seven state-of-the-art methods on constrained multi-objective optimization problems ...
Researchers combined tapered main channels with wavy sub-channels in a PEM fuel cell and used a physics-informed surrogate model with ...
Researchers at Pacific Northwest National Laboratory have released pyMOODS, an open-source visual analytics framework that uses machine learning and rank-based ...
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© 2025 Scienmag - Science Magazine