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Evolutionary Dynamic Multi-objective Optimisation: A Survey
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DOI：10.1145/3524495.png)
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Evolutionary dynamic multi-objective optimisation (EDMO) is a relatively young but rapidly growing area of investigation. EDMO employs evolutionary approaches to handle multi-objective optimisation problems that have time-varying changes in objective functions, constraints, and/or environmental parameters. Due to the simultaneous presence of dynamics and multi-objectivity in problems, the optimisation difficulty for EDMO has a marked increase compared to that for single-objective or stationary optimisation. After nearly two decades of community effort, EDMO has achieved significant advancements on various topics, including theoretic research and applications. This article presents a broad survey and taxonomy of existing research on EDMO. Multiple research opportunities are highlighted to further promote the development of the EDMO research field.
Keyword:
Multi-objective optimisation
evolutionary algorithm
dynamic environment
evolutionary dynamic multi-objective optimisation
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28
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2.4K
被引数:
3.5W
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