Clear Thought 1.5

# Optimization Examples ## Resource Allocation ### Engineering Team Optimization ```json { "prompt": "Optimize team resource allocation across projects", "parameters": { "variables": { "frontend_hours": { "min": 0, "max": 160, "step": 20 }, "backend_hours": { "min": 0, "max": 160, "step": 20 }, "testing_hours": { "min": 0, "max": 80, "step": 10 }, "documentation_hours": { "min": 0, "max": 40, "step": 10 } }, "objective": "(frontend_hours * 1.2) + (backend_hours * 1.5) + (testing_hours * 0.8) + (documentation_hours * 0.5)", "constraints": "frontend_hours + backend_hours + testing_hours + documentation_hours <= 300", "method": "grid", "iterations": 100 } } ``` ## Portfolio Optimization ### Investment Mix ```json { "prompt": "Optimize investment portfolio allocation", "parameters": { "variables": { "stocks": { "min": 0, "max": 100, "step": 5 }, "bonds": { "min": 0, "max": 100, "step": 5 }, "real_estate": { "min": 0, "max": 100, "step": 5 }, "cash": { "min": 0, "max": 100, "step": 5 } }, "objective": "(stocks * 0.12) + (bonds * 0.04) + (real_estate * 0.08) + (cash * 0.01)", "constraints": "stocks + bonds + real_estate + cash = 100", "method": "hill", "iterations": 200 } } ``` ## Production Optimization ### Manufacturing Output ```json { "prompt": "Maximize production output with constraints", "parameters": { "variables": { "product_a": { "min": 0, "max": 1000, "step": 50 }, "product_b": { "min": 0, "max": 800, "step": 50 }, "product_c": { "min": 0, "max": 600, "step": 50 } }, "objective": "(product_a * 15) + (product_b * 20) + (product_c * 25)", "constraints": "(product_a * 2) + (product_b * 3) + (product_c * 4) <= 5000", "method": "grid", "iterations": 150 } } ```