4 citations · 7 across the 19 of their papers we have counts for
5 papers · 1 filter
Insights from Multi-tasking the EAX Algorithm for the Travelling Salesperson Problem
Liam Wigney, Aneta Neumann, Yew-Soon Ong +1
Evolutionary multitasking allows several related problems to be solved in a single run of an algorithm. In this paper, we investigate integrating evolutionary multitasking with Edg…
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…
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…