Abstract: Multitask genetic programming (GP) methods have been applied to various domains, such as classification, regression, and combinatorial optimization problems. Most existing multitask GP ...
Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of ...
Abstract: Symbolic regression (SR) is an important problem with many applications, such as automatic programming tasks and data mining. Genetic programming (GP) is a commonly used technique for SR. In ...