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A new imperialist competitive algorithm with spiral rising mechanism for solving path optimization problems.

Xia Li1, Junhan Chen1, Lingfang Sun1

  • 1School of Automation Engineering, Northeast Electric Power University, Jilin, China.

Peerj. Computer Science
|October 20, 2022
PubMed
Summary
This summary is machine-generated.

A new improved imperialist competitive algorithm (ICA) enhances global search ability by incorporating spiral rising theory. This optimized ICA effectively solves complex problems, including robot path optimization, improving overall performance and stability.

Keywords:
Global optimization abilityImperialist competitive algorithmIntelligent optimization algorithmPath planning problem

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Area of Science:

  • Computational Intelligence
  • Robotics
  • Optimization Algorithms

Background:

  • Intelligent optimization algorithms are crucial for global optimization.
  • The imperialist competitive algorithm (ICA) is a nature-inspired meta-heuristic algorithm.
  • Standard ICA can suffer from premature convergence and local optima due to fast convergence.

Purpose of the Study:

  • To propose a novel improved imperialist competitive algorithm (ICA).
  • To enhance the global search capability and enlarge the search space of ICA.
  • To address the premature convergence issue in standard ICA.

Main Methods:

  • Introduced the theory of spiral rising into the original ICA algorithm.
  • Ensured the maintenance of necessary convergence speed.
  • Applied the improved ICA to 19 classical benchmark functions and robot path optimization problems.

Main Results:

  • The improved ICA demonstrated enhanced optimization ability.
  • The algorithm showed improved stability compared to the original ICA.
  • Successfully applied to solve complex robot path optimization problems.

Conclusions:

  • The proposed spiral rising-based improved ICA effectively expands search space and global search ability.
  • The enhanced ICA overcomes the premature convergence limitations of the standard ICA.
  • The improved algorithm offers superior performance and stability for optimization tasks, including robot path planning.