Abstract: To address the limitations of slow convergence, low accuracy, and local optima entrapment in the Archimedes Optimization Algorithm (AOA), we propose a multi-strategy enhanced ...
State-of-the-art techniques for pavement performance evaluation have attracted considerable attention in recent years. Artificial Neural Networks (ANNs) can simulate the human brain to discover hidden ...
Abstract: In this paper, a greedy initialization-based genetic algorithm is proposed for unit-norm tight frame sampling design in spherical near-field measurements. Since the optimization criterion ...
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