Now showing items 1-3 of 3
A Machine Learning Approach to Predict Healthcare Cost of Breast Cancer Patients
This paper presents a novel machine learning approach to per- form an early prediction of the healthcare cost of breast cancer patients. The learning phase of our prediction method considers the following two steps: i) in ...
Migration in Multi-Population Differential Evolution for Many Objective Optimization
The paper proposes a novel extension of many objective optimization using differential evolution (MaODE). MaODE solves a many objective optimization (MaOO) problem by parallel optimization of individual objectives. MaODE ...
Q-Learning Induced Artificial Bee Colony for Noisy Optimization
The paper proposes a novel approach to adaptive selection of sample size for a trial solution of an evolutionary algorithm when noise of unknown distribution contaminates the objective surface. The sample size of a solution ...