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 ...
algorithm to enhance the global convergence speed of GWO. Krill herd algorithm has been also used to solve a number of optimization problems. Abualigah [2] employed an improved krill herd algorithm for feature selection and document clustering. Cuevas et al. [20] proposed a social spider algori...
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 ...
To classify various sonar dataset, this paper proposes the use of the newly developed Whale Optimization Algorithm (WOA) algorithm for training Multi-Layer Perceptrons Neural Network (MLPs NN). Similar to other evolutionary classifiers, trapping in local minima, slow convergence rate, and non-real-...
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 ...
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 ...
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...