13 papers
Quality Diversity for Reliable Data Driven Time-Use Optimization
Aneta Neumann, Ty Stanford, Dorothea Dumuid +1
The daily allocation of the finite 24-hour time budget is strongly associated with physical, mental, and cognitive health. While predictive models can estimate the relationship bet…
Combinatorial CAR T-cell Circuit Design using Single- and Multi-Objective Local Search
Bartol Borozan, Alice Descoeudres, Aneta Neumann +2
CAR T-cell circuit design enables targeting tumour cells while keeping healthy cells unaffected to a cancer treatment. Designing CAR T-cell circuits that maximize the number of tum…
On the Use of Survival Selection Methods for Evolutionary Diversity Optimisation
Adel Nikfarjam, Jakob Bossek, Aneta Neumann +1
Generating a diverse set of high quality solutions for an optimisation problem has been studied extensively in recent years by the evolutionary computation community. A paradigm th…
Evolutionary Algorithms and Multi-Objective Minimum Spanning Trees with Limited Distinct Weight Values
Narges Tavassoli Kejani, Andrew M. Sutton, Frank Neumann
Evolutionary algorithms have been used for a wide range of multi-objective combinatorial optimization problems. Despite practical success, theoretical results on the runtime of evo…
Effective Traveling for Metric Instances of the Traveling Thief Problem
Jan Eube, Kelin Luo, Aneta Neumann +2
The Traveling Thief Problem (TTP) is a multi-component optimization problem that captures the interplay between routing and packing decisions by combining the classical Traveling S…
Evolutionary Algorithms for Generating Graphs Matching Desired Laplacian Spectra
Hendrik Richter, Frank Neumann
Graphs with diverse structural characteristics play a central role in modelling and optimization tasks. The ability to generate different types of graphs that exhibit shared proper…