ArticleSensors (Basel, Switzerland)2025
LSEWOA: An Enhanced Whale Optimization Algorithm with Multi-Strategy for Numerical and Engineering Design Optimization Problems.
Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- An adaptive oppositional grey wolf optimizer for complex engineering problems.Scientific reports · 2026Article
- Multi-strategy enhanced black-winged kite algorithm and its engineering applications.Scientific reports · 2026Article
- Multi-Objective Optimization of Ultrasonic Surface Rolling Process Parameters for TC4 Titanium Alloy with IWOA-RBF and MOGWO Algorithms.Micromachines · 2026Article
- Enhanced Red-billed Blue Magpie Optimizer for engineering optimization problems.Scientific reports · 2026Article
- A Geometric Whale Optimization Algorithm with Triangular Flight for Numerical Optimization and Engineering Design.Scientific reports · 2026Article
- An improved black-winged kite algorithm for solving non-lethal kinetic strike parameters for moving targets.Scientific reports · 2026Article
- Improving the Dung Beetle Optimizer with Multiple Strategies: An Application to Complex Engineering Problems.Biomimetics (Basel, Switzerland) · 2025Article
- Article
- GWOA: A multi-strategy enhanced whale optimization algorithm for engineering design optimization.PloS one · 2025Article
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Authors and funding
7 authors.
Funding
Abstract
The Whale Optimization Algorithm (WOA) is a bio-inspired metaheuristic algorithm known for its simple structure and ease of implementation. However, WOA suffers from issues such as premature convergence, low population diversity in the later stages of iteration, slow convergence rate, low convergence accuracy, and an imbalance between exploration and exploitation. In this paper, we proposed an enhanced whale optimization algorithm with multi-strategy (LSEWOA). LSEWOA employs Good Nodes Set Initialization to generate uniformly distributed whale individuals, a newly designed Leader-Followers Search-for-Prey Strategy, a Spiral-based Encircling Prey strategy inspired by the concept of Spiral flight, and an Enhanced Spiral Updating Strategy. Additionally, we redesigned the update mechanism for convergence factor
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