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An innovative complex-valued encoding black-winged kite algorithm for global optimization.

Chengtao Du1, Jinzhong Zhang2, Jie Fang1

  • 1School of Electrical and Photoelectronic Engineering, West Anhui University, Lu'an, 237012, China.

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This summary is machine-generated.

The complex-valued black-winged kite algorithm (CBKA) enhances swarm intelligence for global optimization. It improves efficiency, precision, and convergence speed compared to the original BKA.

Keywords:
Black-winged kite algorithmComplex-valued encodingEngineering layoutsFunction evaluationsInfinite impulse response system identification

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Area of Science:

  • Computational Intelligence
  • Swarm Intelligence
  • Optimization Algorithms

Background:

  • The standard black-winged kite algorithm (BKA) has limitations in resolution efficiency and precision.
  • Existing BKA struggles with stagnation and limited exploration capabilities.

Purpose of the Study:

  • To introduce an innovative complex-valued encoding BKA (CBKA) for superior global optimization.
  • To enhance the computational efficacy and discovery intensity of swarm intelligence methods.

Main Methods:

  • Developed CBKA by integrating complex-valued encoding with dual-diploid configuration into the BKA framework.
  • Utilized inherent parallelism for separate renewal of real and imaginary parts, enhancing population diversity and exploration.
  • Incorporated localized exploitation and universal exploration strategies to prevent premature convergence.

Main Results:

  • CBKA demonstrated superior computational accomplishment and convergence productivity over comparative algorithms.
  • The enhanced algorithm showed improved resolution precision and faster convergence efficiency.
  • CBKA exhibited noteworthy stabilization and resilience in complex problem-solving.

Conclusions:

  • CBKA offers significant advantages in flexibility, compatibility, and solution refinement.
  • The complex-valued encoding approach effectively addresses the limitations of the original BKA.
  • CBKA is a robust and efficient method for global optimization tasks, including engineering applications.