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Nature-inspired algorithms are a set of problem-solving methodologies and approaches derived from natural processes.

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Nature Inspired Algorithms

Description

Nature-inspired algorithms are a set of problem-solving methodologies and approaches derived from natural processes. Some examples of these Algorithms are Genetic Algorithm, Particle Swarm Optimization, Artificial Bee Colony, etc.

Programming Language

  • Java

IDE

  • Eclipse

AIM

  • To optimize the given function and the find the Optimal Value(Global Minima) of the function using these Algorithms

Function to be Optimized (Minimized)

  • Rastrigin Function
Formula Global Minimum Variable Bounds
  • Ackley Function
Formula Global Minimum Variable Bounds
  • Sphere Function
Formula Global Minimum Variable Bounds
  • Rosenbrock Function
Formula Global Minimum Variable Bounds

Optimized Results

Genetic Algorithm

GA

Differential Evolution

DE

Artificial Bee Colony

ABC

Particle Swarm Optimization

PSO

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Nature-inspired algorithms are a set of problem-solving methodologies and approaches derived from natural processes.

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