IEEE

Multitask Linear Genetic Programming With Shared Individuals and Its Application to Dynamic Job Shop Scheduling

Abstract: Multitask genetic programming (GP) methods have been applied to various domains, such as classification, regression, and combinatorial optimization problems. Most existing multitask GP ...
Hosted on MSN

Setting up a linear programming problem by identifying the feasible region

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 ...
The Telegraph

Bedford Academy achieves global recognition for FIRST programming

Bedford Academy was recently selected as a member of the 2026 Inspire the Future: FIRST Recognition Program School cohort. Courtesy photo/Bedford Academy BEDFORD – Bedford Academy was recently ...
IEEE

Semantic Linear Genetic Programming for Symbolic Regression

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 ...