Multi-objective lichtenberg algorithm: A hybrid physics-based meta-heuristic for solving engineering problems
作者：
Highlights：
• A Brief Review of Multi-Objective Optimization with Algorithms and Trends.
• A new multi-objective algorithm inspired by lightning and Lichtenberg Figures.
• The first hybrid multi-objective meta-heuristic: trajectory and population - based.
• Lichtenberg patterns presents advantageous convergence-coverage balance.
• Tested on complex functions-problems and compared with renowned MO meta-heuristics.
摘要
•A Brief Review of Multi-Objective Optimization with Algorithms and Trends.•A new multi-objective algorithm inspired by lightning and Lichtenberg Figures.•The first hybrid multi-objective meta-heuristic: trajectory and population - based.•Lichtenberg patterns presents advantageous convergence-coverage balance.•Tested on complex functions-problems and compared with renowned MO meta-heuristics.
论文关键词：Multi-objective optimization,Multi-objective lichtenberg algorithm,Lichtenberg algorithm,Meta-heuristics,Lightening,Limited diffusion aggregation,Design
论文评审过程：Received 13 January 2021, Revised 19 August 2021, Accepted 17 September 2021, Available online 25 September 2021, Version of Record 28 September 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115939
