Improved Whale Optimization Algorithm Based on Nonlinear Adaptive Weight and Golden Sine Operator

Whale optimization algorithm (WOA) is a swarm intelligence-based algorithm that simulates whale population predation in the sea. Aiming at the shortcomings of WOA such as low precision and slow convergence speed, an improved whale optimization algorithm based on nonlinear adaptive weight and golden...

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Veröffentlicht in:	IEEE access 2020, Vol.8, p.77013-77048
Hauptverfasser:	Zhang, J., Wang, J. S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive algorithms Convergence Fireworks golden sine operator Heuristic methods Mathematical model nonlinear adaptive weight Optimization Optimization algorithms Particle swarm optimization Reagents Searching Sociology Statistics Swarm intelligence Trigonometric functions Weight Whale optimization algorithm Whales Xenon
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