Multi-objective optimization of energy-efficient production schedules using genetic algorithms

DOI10.1007/S11081-021-09691-3zbMath1519.90223OpenAlexW3202315566MaRDI QIDQ6159491

Philipp Rayling, Tobias Küster, Robin Wiersig, Francisco Denis Pozo Pardo

Publication date: 20 June 2023

Published in: Optimization and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11081-021-09691-3

zbMATH Keywords

genetic algorithmsenergy modelingindustrial optimizationschedule optimization

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Deterministic scheduling theory in operations research (90B35)

Cites Work

• Evolutionary scheduling.
• A multi-objective differential evolution algorithm for parallel batch processing machine scheduling considering electricity consumption cost
• Introduction to evolutionary computing

This page was built for publication: Multi-objective optimization of energy-efficient production schedules using genetic algorithms