| 2025 |
Recent advances in Multi-objective Cuckoo Search Algorithm, its variants and applications |
| 2025 |
Adaptive ensemble learning model-based binary white shark optimizer for software defect classification |
| 2024 |
Optimizing beyond boundaries: empowering the salp swarm algorithm for global optimization and defective software module classification |
| 2024 |
Beyond Traditional Motion Planning: A Proximal Policy Optimization Reinforcement Learning Approach for Robotics |
| 2024 |
Interpretable SHAP-Driven Machine Learning for Accurate Fault Detection in Software Engineering |
| 2024 |
Hybrid aquila optimizer for efficient classification with probabilistic neural networks |
| 2024 |
Improving intrusion detection in the IoT with African vultures optimisation algorithm-based feature selection |
| 2024 |
Deep Reinforcement Learning for Robotics Motion Planning Combining Graph Neural Networks and Multi-Agent Systems |
| 2023 |
Feedforward neural network-based augmented salp swarm optimizer for accurate software development cost forecasting |
| 2023 |
An enhanced salp swarm optimizer boosted by local search algorithm for modelling prediction problems in software engineering |
| 2023 |
An efficient hybrid mine blast algorithm for tackling software fault prediction problem |
| 2023 |
Parallel metaheuristic algorithms for solving imbalanced data classification problems |
| 2023 |
An efficient convergence-boosted salp swarm optimizer-based artificial neural network for the development of software fault prediction models |
| 2023 |
Hybrid black widow optimization with iterated greedy algorithm for gene selection problems |
| 2022 |
Salp swarm optimizer for modeling the software fault prediction problem |
| 2022 |
Backpropagation Neural Network optimization and software defect estimation modelling using a hybrid Salp Swarm optimizer-based Simulated Annealing Algorithm |
| 2022 |
Heap based optimizer algorithm for solving feature selection problems in high-dimensional cancer microarray data |
| 2021 |
Salp swarm optimizer for modeling software reliability prediction problems |
| 2021 |
A hybrid salp swarm algorithm with artificial neural network model for predicting the team size required for software testing phase |
| 2015 |
Software effort and function points estimation models based radial basis function and feedforward artificial neural networks |
| 2014 |
Estimating the Number of Test Workers Necessary for a Software Testing Process Using Artificial Neural Networks |
