A knowledge-driven method of adaptively optimizing process parameters for energy efficient turning
A knowledge-driven method of adaptively optimizing process parameters for energy efficient turning is a scholarly work, published in 2019 in ''Energy''. The main subjects of the publication include ant colony optimization algorithms, Multi-swarm optimization, energy, particle swarm optimization, computer science, metaheuristic, heuristic, multi-objective optimization, mathematical optimization, process, Meta-optimization, electrical discharge machining, energy consumption, machining, fuzzy logic, and engineering. To generalize the energy-aware parametric optimization for multiple machining configurations, authors propose a two-stage knowledge-driven method by integrating data mining (DM) techniques and fuzzy logic theory.