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Opposition-based chaotic evolution for optimization
Published 2025-07-01“…Abstract Evolutionary computation algorithms are widely used for solving complex optimization problems, but their practical performance is often hindered by high computational costs and premature convergence. …”
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443
Coal Price Forecasting Using CEEMDAN Decomposition and IFOA-Optimized LSTM Model
Published 2025-07-01Get full text
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444
Physical property-aware multi-UAV spatial coordination for energy-efficient mobile edge computing
Published 2025-08-01“…This algorithm utilizes three distinct mutation strategies and integrates an external archiving mechanism to optimize both the number and locations of UAV Task Points (TPs). …”
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Computational fluid dynamics and machine learning integration for evaluating solar thermal collector efficiency -Based parameter analysis
Published 2025-07-01“…Abstract The present paper provides a novel hybrid computational framework that integrates Computational Fluid Dynamics (CFD) with advanced machine learning techniques to optimize solar thermal collectors employing micro-heat pipe arrays (MHPA) for food dehydration applications. …”
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Distributed Task Allocation for UAV Swarms with Limited Communication
Published 2024-08-01Get full text
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449
Towards decoding motor imagery from EEG signal using optimized back propagation neural network with honey badger algorithm
Published 2025-07-01“…Using the ergodicity of the HBA, along with chaotic mechanisms and global convergence, this approach encodes and optimizes the weights and thresholds of a BPNN. Initially, a comprehensive optimal solution is obtained through the honey badger algorithm. …”
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Analyzing social psychological impact on emotional expression through peer communication using crayfish optimization algorithm with deep learning model
Published 2025-07-01“…Finally, the crayfish optimization algorithm (COA) adjusts the VAE model’s hyperparameter values, improving classification. …”
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453
A Comparison of the Black Hole Algorithm Against Conventional Training Strategies for Neural Networks
Published 2025-07-01“…Artificial Intelligence continues to demand robust and adaptable training methods for neural networks, particularly in scenarios involving limited computational resources or noisy, complex data. This study presents a comparative analysis of four training algorithms, Backpropagation, Genetic Algorithm, Black-hole Algorithm, and Particle Swarm Optimization, evaluated across both classification and regression tasks. …”
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Neural-Driven heuristic for strip packing trained with Black-Box optimization
Published 2025-06-01“…Through extensive computational experiments, we compare our method against well-known strip packing heuristics, including MaxRects and Skyline-based algorithms. …”
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457
GIS spatial optimization for agricultural crop allocation using NSGA-II
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Optimal Design of Gain-Flattened Raman Fiber Amplifiers Using a Hybrid Approach Combining Randomized Neural Networks and Differential Evolution Algorithm
Published 2018-01-01“…To obtain a flat gain spectrum, DE algorithm is employed to find the optimal wavelengths and powers of pumps. …”
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