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Using a Population-based Algorithm (E.g. Genetic Algorithm or Ant Colony Optimisation algorithms) solve the following integer programming problem Maximize: f(x, y) = 52x + 40y Subject to 6x-y-9 70x + 30y≤ 4731 x² + y² ≤ 3893 x²-150x+80y≤ - 2832 x = [0,82], y = [0,37] Solution Requirement is Python Code.

Using a Population-based Algorithm (E.g. Genetic Algorithm or Ant Colony Optimisation algorithms) solve the following integer programming problem Maximize: f(x, y) = 52x + 40y Subject to 6x-y-9 70x + 30y≤ 4731 x² + y² ≤ 3893 x²-150x+80y≤ - 2832 x = [0,82], y = [0,37] Solution Requirement is Python Code.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Using a Population-based Algorithm (E.g. Genetic Algorithm or Ant Colony Optimisation algorithms) solve the following integer programming problem Maximize: f(x, y) = 52x + 40y Subject to 6x-y-9 70x +30y≤ 4731 x² + y² ≤ 3893 x²-150x+80y≤ - 2832 x = [0,82], y = [0,37] Solution Requirement is Python Code.
Transcribed Image Text:Using a Population-based Algorithm (E.g. Genetic Algorithm or Ant Colony Optimisation algorithms) solve the following integer programming problem Maximize: f(x, y) = 52x + 40y Subject to 6x-y-9 70x +30y≤ 4731 x² + y² ≤ 3893 x²-150x+80y≤ - 2832 x = [0,82], y = [0,37] Solution Requirement is Python Code.
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