Cooperative co-evolution for feature selection in Big Data with random feature grouping
A massive amount of data is generated with the evolution of modern technologies. This high-
throughput data generation results in Big Data, which consist of many features (attributes) …
throughput data generation results in Big Data, which consist of many features (attributes) …
Bi-Population Enhanced Cooperative Differential Evolution for Constrained Large-Scale Optimization Problems
P Jiang, J Liu, Y Cheng - IEEE Transactions on Evolutionary …, 2023 - ieeexplore.ieee.org
By decomposing the problem into a series of low-dimensional subproblems, cooperative
coevolution is an effective method for large-scale optimization problems. This work reveals …
coevolution is an effective method for large-scale optimization problems. This work reveals …
Surrogate-assisted distributed swarm optimisation for computationally expensive geoscientific models
Evolutionary algorithms provide gradient-free optimisation which is beneficial for models that
have difficulty in obtaining gradients; for instance, geoscientific landscape evolution models …
have difficulty in obtaining gradients; for instance, geoscientific landscape evolution models …