As a crucial link between the inland area and maritime transport, a port’s importance is undeniable. The expanding maritime transport economy has heightened the need for improved port operational ...

Abstract: The computational efficiency of existing genetic programming (GP) software is improved through the addition of parallelization and hybridization with a low-level optimizer. The low-level ...

Abstract: The uncertain capacitated arc routing problem (UCARP) is an important combinatorial optimization problem with many applications in the real world. Genetic programming hyper-heuristic has ...

hal-cgp is an extensible pure Python library implementing Cartesian genetic programming to represent, mutate and evaluate populations of individuals encoding symbolic expressions targeting ...

Gene Expression Programming (GEP) is a popular and established evolutionary algorithm for automatic generation of computer programs and mathematical models. It has found wide applications in symbolic ...

Layout design is an important research topic in the field of manufacturing system. In traditional manufacturing systems, the initial layout design is rarely changed. However, with the increasingly ...

In the age of technological advancement, the parallel between human programming and computer code has sparked a fascinating debate. Are we, as humans, programmed in a manner akin to how computers are ...

1 School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, China. 2 School of Cyberspace Security, Guangzhou University, Guangzhou, China. Genetic Programming (GP) is an ...

Algorithms have taken on an almost mythical significance in the modern world. They determine what you see on social media and when browsing online, help form people’s belief systems, and impact the ...

This article exclusively formulates and presents three innovative hypotheses related to the execution of share buybacks, employing Genetic Algorithms (GAs) and mathematical optimization techniques.