A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades—Part B

This article presents the second Part of a two-Part survey that reviews evolutionary dynamic optimization (EDO) for single-objective unconstrained continuous problems over last two decades. While in first part, we reviewed components algorithms (DOAs); this present an in-depth review most commonly used benchmark problems, performance analysis methods, static methods framework DOAs, and real-world applications. Compared to previous works, provides new taxonomy field based on their baseline functions dynamics. In addition, classifies indicators into fitness/error-based efficiency-based ones. Different types plots literature analyzing behavior are also reviewed. Furthermore, modified utilized DOAs as covered. We then comprehensively some optimized by EDO methods. Finally, challenges opportunities pointed out future directions.