More Problems

• Implement a Greedy algorithm to solve the resource allocation problem in cloud computing, where different tasks have different processing requirements and profits. The goal is to maximize profit while minimizing resource usage.
• Design an algorithm to optimize the selection of employees for multiple shifts in a factory where each employee has different skill levels and availability. Maximize productivity while minimizing labor costs.
• 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.