More Problems

• You are given a set of cities and a network of roads with varying traffic conditions and toll prices. Design a Greedy algorithm to minimize the total travel cost between two cities, considering both time and cost.
• Implement a Greedy algorithm to maximize the profit in an investment portfolio where each investment has a different ROI and risk factor. The goal is to maximize profit while minimizing risk.
• Design a Greedy algorithm to allocate tasks among workers in a construction project, where each task has different resource requirements and deadlines. The goal is to maximize the completion rate while minimizing resource overuse.
• You are tasked with developing a Greedy algorithm to schedule flights in an airport with limited runways, where each flight has a different priority level, duration, and cost. Maximize the number of flights scheduled without delays.
• 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.