Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
A Genetic Algorithm for the Multidimensional Knapsack Problem
Journal of Heuristics
Practical Optimization Methods: With Mathematica Applications
Practical Optimization Methods: With Mathematica Applications
Hi-index | 0.00 |
Today too many patients are confronted with a problem of malnutrition. As finding and treating malnutrition early may help the patient gain or maintain weight, improve the patient's response to therapy, and reduce complications of treatment, different tools for nutrition screening, assessment, and treatment have been developed. In this paper, we introduce a computer-based method for dietary menu planning to be applied as a crucial part of the screening and assessment tools. As such a tool may be useful if and only if it is based upon a comprehensive domain knowledge, methodology for capturing and reasoning such knowledge is longed for. In the paper, we formalize the menu-planning problem, and describe the evolutionary algorithm for its solving.