Engineering | Optimization A novel multi-strategy ameliorated quasi-oppositional chaotic tunicate swarm algorithm for global optimization and constrained engineering applications. May 23, 2024
Optimization | Robotics Optimizing Robotic Task Sequencing and Trajectory Planning on the Basis of Deep Reinforcement Learning. January 22, 2024
Machine Learning | Neurology | Optimization Machine learning with optimization to create medicine intake schedules for Parkinson’s disease patients. October 18, 2023
Computer Science | Machine Learning | Optimization Hierarchical Optimization-Derived Learning. September 14, 2023
Artificial Intelligence | Optimization | Wireless Communication Enhanced Slime Mould Optimization with Deep-Learning-Based Resource Allocation in UAV-Enabled Wireless Networks. August 26, 2023
Artificial Intelligence | Optimization | Robotics Multi-Objective Optimal Trajectory Planning for Robotic Arms Using Deep Reinforcement Learning. July 14, 2023
Deep Reinforcement Learning (DRL) | Machine Learning | Optimization Differentiable Logic Policy for Interpretable Deep Reinforcement Learning: A Study from an Optimization Perspective. June 13, 2023
Biofuel Production | Deep Learning | Energy Generation | Optimization Design of optimal Elman Recurrent Neural Network based prediction approach for biofuel production. May 26, 2023
Environmental Science | Groundwater Contamination | Optimization | Sensitivity Analysis Sensitivity-dependent dynamic searching approach coupling multi-intelligent surrogates in homotopy mechanism for groundwater DNAPL-source inversion. February 15, 2023
Electric Power Systems | Engineering | Optimization Optimal placement of distributed generation based on DISCO’s financial benefit with loss and emission reduction using hybrid Jaya-Red Deer optimizer. January 2, 2023
Artificial Intelligence | E-commerce | Optimization | Recommendation Systems Visual and buying sequence features-based product image recommendation using optimization based deep residual network. September 20, 2022
Machine Learning | Optimization Riemannian gradient methods for stochastic composition problems. August 2, 2022