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Everything about Secretary bird optimization algorithm
Secretary bird-inspired optimizer
Secretary bird optimization algorithm (SBOA) is a metaheuristic optimization algorithm introduced in 2024. It is a population-based method inspired by the hunting and predator-evasion behaviour of the secretarybird. In the published formulation, the search process is divided into two main stages: an exploration phase based on hunting behaviour and an exploitation phase based on escape behaviour. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Secretary bird optimization algorithmA 5-minute orientation
- Skim a recent paper: An Energy-Efficient Multihop Routing Protocol for 3-D Bridge Wireless Sensor Network Based on Secretary Bird Optimization AlgorithmInfluential work since 2022
- Read the landmark paper: Secretary bird optimization algorithm: a new metaheuristic for solving global optimization problemsCited 557 times
- Go sideways: Fish School SearchA closely related topic
- Go sideways: Maximum disjoint setA closely related topic
📖 Definitions
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🏆 Landmark papers (most cited)
Secretary bird optimization algorithm: a new metaheuristic for solving global optimization problems
Recent advances in secretary bird optimization algorithm, its variants and applications
Secretary bird optimization algorithm based on quantum computing and multiple strategies improvement for KELM diabetes classification
A Multi-Strategy Improvement Secretary Bird Optimization Algorithm for Engineering Optimization Problems
Comparative analysis and application of rockburst prediction model based on secretary bird optimization algorithm
Enhanced secretary bird optimization algorithm with multi-strategy fusion and Cauchy–Gaussian crossover
The Crossover strategy integrated Secretary Bird Optimization Algorithm and its application in engineering design problems
Augmented secretary bird optimization algorithm for wireless sensor network deployment and engineering problem
🆕 Influential since 2022
An Energy-Efficient Multihop Routing Protocol for 3-D Bridge Wireless Sensor Network Based on Secretary Bird Optimization Algorithm
Three-Dimensional Path Planning for AUVs Based on Interval Multi-Objective Secretary Bird Optimization Algorithm
Binary Secretary Bird Optimization Algorithm for the Set Covering Problem
Optimization of Microgrid Scheduling Based on Adaptive Collaborative Secretary Bird Optimization Algorithm
Improved Secretary Bird Optimization Algorithm for UAV Path Planning
📚 Books worth reading
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🔗 Related topics
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- Minimum Population Search In evolutionary computation, Minimum Population Search (MPS) is a computational method that optimizes a problem by iteratively trying to improve a set…
- Kendall rank correlation coefficient In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's τ coefficient (after the Greek letter τ, tau), is a statistic…
- Stochastic approximation Stochastic approximation methods are a family of iterative methods typically used for root-finding problems or for optimization problems. The recursive…
- Constrained optimization In mathematical optimization, constrained optimization (in some contexts called constraint optimization) is the process of optimizing an objective function…
- Block Wiedemann algorithm The block Wiedemann algorithm for computing kernel vectors of a matrix over a finite field is a generalization by Don Coppersmith of an algorithm due to…
- Multidimensional scaling Multidimensional scaling (MDS) is a means of visualizing the level of similarity of individual cases of a data set. MDS is used to translate distances…