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Matlab群体智能优化算法之海象优化算法(WO)

Matlab群体智能优化算法之巨型睡莲优化算法(VAO)摘要：介绍一种新型智能优化算法，巨型睡莲优化算法。其应用于24个基准测试函数，并与其他10个著名算法进行了比较。提出的算法在10个优化问题上进行了测试：最小生成树、枢纽位置分配、二次分配、聚类、特征选择、回归、经济调度、并行机器调度、颜色量化和图像分割，并与传统算法和生物启发算法进行了比较。总体而言，该算法在所有任务中的表现都令人满意。参考文献：Mousavi S M H. Victoria Amazonica Optimization (VAO)

Giant Trevally Optimizer (GTO): A Novel Metaheuristic Algorithm for Global Optimization and Challenging参考文献：H. T. Sadeeq and A. M. Abdulazeez, “Giant Trevally Optimizer (GTO): A Novel Metaheuristic Algorithm for Global Optimization and Challenging Enginee

基于模拟烹饪训练优化算法(CBOA)

智能算法简单分类、简单总结、后续再完善

Northern Goshawk Optimization:A New Swarm-Based Algorithm for Solving Optimization Problems

Sperm Swarm Optimization Algorithm for Optimizing Wireless Sensor Network Challenges

Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications参考文献：Trojovský P, Dehghani M. Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications[J]. Sensors, 2022, 22(3): 855.

目录A New Bio-Inspired Optimization Algorithm for Solving Optimization Algorithm参考文献：M. Dehghani, Š. Hubálovský and P. Trojovský, “Tasmanian Devil Optimization: A New Bio-Inspired Optimization Algorithm for Solving Optimization Algorithm,” in IEEE Access,

Driving Training-Based Optimization: A New Human-Based Metaheuristic Algorithm for Solving Optimization Problems参考文献：Dehghani M, Trojovská E, Trojovský P. Driving Training-Based Optimization: A New Human-Based Metaheuristic Algorithm for Solving Optimizat