Surrogate-assisted evolutionary computation: Recent advances and future challenges

Yaochu Jin
2011 Swarm and Evolutionary Computation  
Surrogate-assisted, or meta-model based evolutionary computation uses efficient computational models, often known as surrogates or meta-models, for approximating the fitness function in evolutionary algorithms. Research on surrogate-assisted evolutionary computation began over a decade ago and has received considerably increasing interest in recent years. Very interestingly, surrogate-assisted evolutionary computation has found successful applications not only in solving computationally
more » ... e single-or multi-objective optimization problems, but also in addressing dynamic optimization problems, constrained optimization problems and multi-modal optimization problems. This paper provides a concise overview of the history and recent developments in surrogate-assisted evolutionary computation and suggests a few future trends in this research area.
doi:10.1016/j.swevo.2011.05.001 fatcat:z3f6vey24fawbmz6gkpcjbnq5q