A new framework of change response for dynamic multi-objective optimization

Author:

Hu YaruORCID,Zou Juan,Zheng Jinhua,Jiang Shouyong,Yang Shengxiang

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference45 articles.

1. Memory enhanced evolutionary algorithms for changing optimization problems;Branke,1999

2. Evolutionary dynamic multiobjective optimization assisted by a support vector regression predictor;Cao;IEEE Transactions on Evolutionary Computation,2020

3. Dynamic multi-objective optimization and decision-making using modified NSGA-II: A case study on hydro-thermal power scheduling;Deb,2007

4. A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms;Derrac;Swarm and Evolutionary Computation,2011

5. A novel approach to statistical comparison of meta-heuristic stochastic optimization algorithms using deep statistics;Eftimov;Information Sciences,2017

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