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DY0-001 · Question #35

Given these business requirements: - Needs to most efficiently move 3,000 boxes across a river - Has one boat that holds eight boxes, travels at ten nautical miles per hour, and has a fuel economy…

The correct answer is A. Constrained. You must optimize boat trips subject to strict resource limits (fuel, boat capacity, travel distance), making this a constrained optimization problem (e.g., solvable via linear programming).

Modeling, Analysis, and Outcomes

Question

Given these business requirements:

  • Needs to most efficiently move 3,000 boxes across a river
  • Has one boat that holds eight boxes, travels at ten nautical miles

per hour, and has a fuel economy of six nautical miles per gallon

  • Has another boat that holds two boxes, travels at 50 nautical miles

per hour, and has a fuel economy of 18 nautical miles per gallon

  • The river is one nautical mile wide
  • The data scientist only has access to 125 gallons of fuel

Which of the following is the most likely optimization technique a data scientist would apply?

Options

  • AConstrained
  • BUnconstrained
  • CNon-iterative
  • DIterative

How the community answered

(14 responses)
  • A
    79% (11)
  • B
    14% (2)
  • C
    7% (1)

Explanation

You must optimize boat trips subject to strict resource limits (fuel, boat capacity, travel distance), making this a constrained optimization problem (e.g., solvable via linear programming).

Topics

#constrained optimization#resource constraints#operations research#optimization techniques

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