BMOBench: Black-Box Multi-Objective Optimization Benchmarking Platform
arXiv:1605.07009v25 citations
Originality Synthesis-oriented
AI Analysis
It provides a tool for researchers in optimization to evaluate algorithms, but it is incremental as it focuses on benchmarking rather than new methods.
The paper introduces BMOBench, a benchmarking platform for black-box multi-objective optimization, and demonstrates it by comparing solvers like SMS-EMOA, DMS, and MO-SOO.
This document briefly describes the Black-Box Multi-Objective Optimization Benchmarking (BMOBench) platform. It presents the test problems, evaluation procedure, and experimental setup. To this end, the BMOBench is demonstrated by comparing recent multi-objective solvers from the literature, namely SMS-EMOA, DMS, and MO-SOO.