Evolutionary Dynamic Multi-objective Optimisation: A Survey

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