Performance comparison of generational and steady-state asynchronous multi-objective evolutionary algorithms for computationally-intensive problems.
Alexandru-Ciprian ZavoianuEdwin LughoferWerner KoppelstätterGünther WeidenholzerWolfgang AmrheinErich-Peter KlementPublished in: Knowl. Based Syst. (2015)
Keyphrases
- steady state
- computationally intensive
- markov chain
- multi objective evolutionary algorithms
- multi objective optimization
- operating conditions
- explicit expressions
- product form
- steady states
- arrival process
- probability distribution
- queueing networks
- heavy traffic
- queue length
- state dependent
- optimization problems
- computational intelligence
- evolutionary algorithm