More Problems

• Given a set of jobs with varying deadlines and profits, design a Greedy algorithm to maximize the total profit while minimizing job conflicts in a dynamic environment with changing job availabilities.
• You are given a set of cities, each with a different resource production capacity. Design a Greedy algorithm to maximize the total resource distribution among cities while minimizing transportation costs.
• Design a Greedy algorithm to minimize the total energy consumption in a data center, where each server has a different power efficiency and task allocation. The goal is to minimize energy use while meeting all task deadlines.
• You are tasked with allocating a limited number of vehicles to deliver goods between warehouses, where each vehicle has a different capacity and cost. Design a Greedy algorithm to maximize delivery efficiency while minimizing costs.
• Implement a Greedy algorithm to optimize the deployment of a limited number of wireless access points in a city, where each access point has a different range and cost. Maximize coverage while minimizing cost.
• You are given a set of employees, each with different work hours and productivity levels. Design a Greedy algorithm to maximize total output while minimizing labor costs in a shift scheduling problem.
• Design an algorithm to allocate parking spaces in a large parking lot, where each space has a different cost and proximity to the entrance. Maximize total revenue while minimizing the inconvenience to users.
• You are tasked with developing a Greedy algorithm to allocate limited medical resources in a hospital, where each patient has a different level of need and treatment cost. Maximize patient outcomes while minimizing costs.