Convergence analysis of flow direction algorithm in continuous search space and its improvement

DOI10.1016/j.matcom.2023.04.020OpenAlexW4367673746MaRDI QIDQ6108221

Wenwen Ye, Shengping Li

Publication date: 29 June 2023

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2023.04.020

zbMATH Keywords

supermartingaleinformation utilizationflow direction algorithm (FDA)guiding flow (GF)

Mathematics Subject Classification ID

Numerical analysis (65-XX) Operations research, mathematical programming (90-XX)

Cites Work

• Unnamed Item
• Adaptive bare-bones particle swarm optimization algorithm and its convergence analysis
• Gradient-based optimizer: a new metaheuristic optimization algorithm
• Probabilistic convergence analysis of the stochastic particle swarm optimization model without the stagnation assumption
• An opposition-based butterfly optimization algorithm with adaptive elite mutation in solving complex high-dimensional optimization problems
• Enhanced flow direction arithmetic optimization algorithm for mathematical optimization problems with applications of data clustering
• On convergence analysis of multi-objective particle swarm optimization algorithm
• GSA: A gravitational search algorithm
• A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm

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