Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

Abstract: genetic programming (GP) is a widely recognized and powerful approach for symbolic regression (SR) problems. However, existing GP methods rely on a single form to solve the problem, which ...

Abstract: This letter investigates the time-optimal trajectory generation for a six-degrees-of-freedom articulated robot moving along a given parametric path. In the generation procedure, besides the ...