-
Vehicle safety, DTLZ2, OSY, and car cab design problems
Vehicle safety, DTLZ2, OSY, and car cab design problems. -
DTLZ, UF, and cm-OneMax datasets
The proposed algorithm is tested on sets of widely used benchmark problems for different delay lengths. -
PyCaMa: Python for cash management
A cash management system with multiple bank accounts, where the goal is to minimize the sum of transaction and holding costs, and to minimize the risk of policies. -
Benchmark study for the 2WDP-SC
The 37 benchmark instances for the 2WDP-SC introduced in [14] are used. They are open accessible via the electronic appendix of [22]. -
Bézier Flow: a Surface-wise Gradient Descent Method for Multi-objective Optim...
The dataset used in this paper is a multi-objective optimization problem, specifically a simplicial problem. It is a problem to seek a solution which minimizes (or maximizes)... -
Multi-Task Learning as Multi-Objective Optimization
Multi-task learning, multiple tasks are solved jointly, sharing inductive bias between them. -
BBOB Benchmark Suite
The dataset used in this paper is a collection of 55 bi-objective problems from the BBOB benchmark suite, with 20-dimensional instances. The dataset is used to evaluate the... -
Multi-Objective Optimization-Based Waveform Design for Multi-User and Multi-T...
The dataset used in this paper is a multi-objective optimization problem for waveform design in a downlink multi-user and multi-target Integrated Sensing and Communication... -
PMGDA: A Preference-based Multiple Gradient Descent Algorithm
The dataset used in the paper is a multi-objective optimization problem, specifically a Pareto optimization problem with multiple objectives and constraints. -
Electric Vehicles coordination for grid balancing using multi-objective Harri...
The dataset used in this paper for EVs coordination for grid balancing using multi-objective Harris Hawks Optimization -
Multi-objective Differentiable Neural Architecture Search
The authors propose a novel hardware-aware differentiable NAS algorithm for profiling the Pareto front in multi-objective problems. -
BI-TTP dataset
The dataset used in the paper is the BI-TTP dataset, which is a bi-objective variant of the Traveling Thief Problem. The dataset consists of 9 test instances with varying...