IEEE

Optimizing Dynamic Flexible Job Shop Scheduling Using an Evolutionary Multitask Optimization Framework and Genetic Programming

Abstract: Driven by the evolution of smart and sustainable manufacturing paradigms under Industry 5.0, which emphasize adaptability, connectivity, and data-driven decision-making, the dynamic flexible ...
Communications of the ACM

The Process-Object Duality of Learning Programming in the GenAI Era

GenAI may be accelerating a developmental transition in how learners conceptualize programming itself.

First-time use of AI for genetic circuit design demonstrated in a human cell line

There are hundreds of cell types in the human body, each with a specific role spelled out in their DNA. In theory, all it ...
IEEE

Evolving Many-Objective Job Shop Scheduling Dispatching Rules via Genetic Programming With Adaptive Search Based on the Frequency of Features

Abstract: Job Shop Scheduling (JSS) is a critical application in diverse fields, such as cloud computing and manufacturing. Genetic Programming (GP) is acknowledged for its wide use in evolving ...