Multiobjective big data optimization based on a hybrid salp swarm algorithm and differential evolution

DOI10.1016/j.apm.2019.10.069zbMath1481.90283OpenAlexW2989539798WikidataQ126832286 ScholiaQ126832286MaRDI QIDQ1989018

Lin Li, K. P. N. Jayasena, Mohamed Abd Elaziz, ShengWu Xiong

Publication date: 24 April 2020

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2019.10.069

zbMATH Keywords

differential evolutionmultiobjective optimization problemsalp swarm algorithmbig data optimization problemmetaheuristic techniques

Mathematics Subject Classification ID

Large-scale problems in mathematical programming (90C06) Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

Related Items

Enhanced salp swarm algorithm based on firefly algorithm for unrelated parallel machine scheduling with setup times

Uses Software

• JADE
• SSA
• MOGWO

Cites Work

• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Multi-objective algorithm for the design of prediction intervals for wind power forecasting model