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Topic: Greedy Algorithm Problem / Level: advanced
Problem:
Design an algorithm to minimize the risk of failure in a system where tasks are scheduled on multiple servers, each having different reliability scores. The goal is to maximize uptime while minimizing the risk.
More Problems
You are tasked with scheduling jobs on multiple machines where each job has a specific processing time and resource requirement. Design a Greedy algorithm to minimize resource wastage while ensuring all jobs are completed.
Given a set of items with varying values and weights, design a Greedy algorithm to maximize the total value collected in a dynamic environment where the capacity of the knapsack changes over time.
Design a Greedy algorithm to minimize the cost of connecting all cities in a country using a limited number of bridges, each with a different construction cost and maximum capacity.
You are given a set of tasks where each task has a start time, end time, and profit. Design a Greedy algorithm to maximize the total profit by selecting non-overlapping tasks, with some tasks having dependencies on others.
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.
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