A Scalable Many-Objective Pathfinding Benchmark Suite

Radar Waveform Optimisation as a Many-Objective Application Benchmark

This paper introduces a real, unmodified Many-Objective optimisation problem for use in optimisation algorithm benchmarking. The radar waveform design problem has 9 objectives and an integer decision space that can be scaled from 4 to 12 decision variables. Proprietary radar waveform design software has been encapsulated in a fast and portable form to facilitate research groups in studying high...

Many Independent Objective (MIO) Algorithm for Test Suite Generation

Highly Scalable Multi Objective Test Suite Minimisation Using Graphics Cards

Despite claims of “embarrassing parallelism” for many optimisation algorithms, there has been very little work on exploiting parallelism as a route for SBSE scalability. This is an important oversight because scalability is so often a critical success factor for Software Engineering work. This paper shows how relatively inexpensive General Purpose computing on Graphical Processing Units (GPGPU)...

The GAP Benchmark Suite

We present a graph processing benchmark suite with the goal of helping to standardize graph processing evaluations. Fewer differences between graph processing evaluations will make it easier to compare different research efforts and quantify improvements. The benchmark not only specifies graph kernels, input graphs, and evaluation methodologies, but it also provides optimized baseline implement...

The GemsTD benchmark suite

We introduce version 1.0 of the GemsTD benchmark suite and report the performance on several different architectures for the cases in this suite. TRITA-PDC-2003:2 • ISSN 1401-2731 • ISRN KTH/PDC/R--03/2--SE