Optimisation - Introduction
The Optimization Foundation This is the summary of the core concepts and the challenge for the student. Part A: The Optimization Imperative Characteristic Traditional Design (Feasibility) Optimal Design (Value) Goal Meet required minimum pressure Find the most cost-effective or most reliable design. Method Trial-and-error, empirical rules. Systematic Search using Smart Algorithms. Result A feasible design. The best-value design, minimizing Life Cycle Cost. Part B: Optimization Problem Formulation The optimization challenge is formally expressed as finding the set of pipe diameters and operational settings that minimizes the Fitness Function : Objective Function (Goal): Minimize the Total Life Cycle Cost. Decision Variables (Levers): The parameters we change to find the optimum. Pipe Diameters Pump Types and Op...
