operational efficiency, market competitiveness, and environmental responsibility. Findings Optimisation of Energy Efficiency AI … through energy optimisation. AI-driven sustainable products development can increase customer satisfaction and market share …

framework implements data-driven learning for the processes of causal discovery, causal effect estimation, and the optimisation …

Mathematics -- Optimisation of Linear Models -- Functions -- Differential Calculus -- Integral Calculus -- Elasticities …

optimisation in order to reduce waste, increase profitability and relieve mental burden on staff members. However, approaches from … contributions of this paper include the derivation and formulation of a probabilistic optimisation problem for high … in Python that implements the optimisation problem. Economic and technical behavior of the process is approximated using …

-scale portfolio optimisation problems with both long-term listed and newly listed securities. The future returns of long-term listed … a three-moment optimisation model with practical trading constraints. In this study, a framework for applying arbitrary … multi-objective evolutionary algorithms to portfolio optimisation is established, and a novel evolutionary algorithm based …

-scale portfolio optimisation problems with both long-term listed and newly listed securities. The future returns of long-term listed … a three-moment optimisation model with practical trading constraints. In this study, a framework for applying arbitrary … multi-objective evolutionary algorithms to portfolio optimisation is established, and a novel evolutionary algorithm based …