The whale optimization algorithm (WOA) is a new bio-inspired meta-heuristic algorithm which is presented based on the social hunting behavior of humpback whales. WOA suffers premature convergence that causes it to trap in local optima. In order to overcome this limitation of WOA, in this paper...
To avoid these possible adverse results, it is significant to take effective measures to improve the original algorithm. In this article, we propose an improved Whale Optimization Algorithm (IWOA) for optimizing parameters of the CNN model, which adopts a nonlinear convergence factor, adaptive ...
The whale optimization algorithm (WOA) is a swarm-based metaheuristic technique that is often used in the field of dimensionality reduction. Among the various WOA-based feature selection techniques in the literature, not a single technology illuminates the stability issue of WOA. Stability is often ...
Whale Optimization Algorithm (WOA), as a newly proposed swarm-based algorithm, has gradually become a popular approach for optimization problems in various engineering fields. However, WOA suffers from the poor balance of exploration and exploitation, and premature convergence. In this paper, a new ...
wolf optimization algorithm (GWO)25, and Runge Kutta optimizer (RUN)26and whale optimization algorithm (WOA)27. Among the swarm intelligence optimization algorithms, WOA simulates the hunting behavior of humpback whale populations. The algorithm performs a parallel search through multiple candidate ...
在多种群体智能算法中,鲸鱼优化算法(Whale Optimization Algorithm, WOA)因其原理简单、控制参数少、适应度高等优点,已被广泛应用到非线性优化[18]、自动控制[19]、电源规划[20]等不同领域,展示了该算法在解决复杂多参数优化问题中的有效性,在多维函数求解中具有良好的寻优反演特性。本文针对小角前向激光散射法中颗...
In this paper, we propose a metaheuristic algorithm named improved whale optimization algorithm (IWOA), which optimizes the standard SBTs. 4.2. Solving the Flight Block Time Optimization Model This section aims to introduce the theory related to the standard whale optimization algorithm (WOA). The...
On this basis, innovate an adaptive approach ε A New Algorithm for Constraints and Multi Strategy Optimization Improvement (ε-IWOA). To validate the performance of the ε-IWOA algorithm, 24 constrained optimization test functions are used to test its optimization capabilities and effectiveness in ...
The whale optimization algorithm (WOA) has shown promise in addressing this challenge, but issues persist, including poor stability, low efficiency, and accuracy in COVID-19 threshold image segmentation. To tackle these issues, we introduce a Latin hypercube sampling initialization-based multi-strategy...
The results suggest that the proposed IWOA has better optimization accuracy compared to the standard whale optimization algorithm (WOA). The proposed modified M-H model has better prediction performance compared to the four traditional cumulative damage models, which can be effectively applied to multi...