A Novel Parametric benchmark generator for dynamic multimodal optimization

In most existing studies on dynamic multimodal optimization (DMMO), numerical simulations have been performed using the Moving Peaks Benchmark (MPB), which is a two-decade-old test suite that cannot simulate some critical aspects of DMMO problems. This study proposes Deterministic Distortion and Rotation (DDRB), method to generate deterministic problems can more diverse types challenges when compared benchmark generators for DMMO. DDRB allows controlling intensity each type challenge independently, enabling user pinpoint pros cons method. first develops an approach generation static functions in difficulty global be controlled. Then, it scaling function dynamically change relative distribution, shapes, sizes basins. A technique control regularity pattern also proposed. Using these components, parametric consisting ten developed Mean Robust Peak Ratio measuring performance methods formulated overcome sensitivity conventional peak ratio indicator predefined threshold niche radius. Numerical results successful method, augmented with simple strategy utilize previous information, are provided proposed different scenarios aim serving as reference future studies.