This paper investigates integrating evolutionary multitasking with Edge Assembly Crossover (MT-EAX) to solve the classical Travelling Salesperson Problem and demonstrates that the advantage of MT-EAX derives from increased diversity through parallel search in early generations, which can be successfully preserved using...
L. Wigney, Aneta Neumann, Y. Ong et al.· Parallel Problem Solving fro...· 0 citations
Public social-media signals were associated with SAS anxiety scores in this consenting, active Weibo-user sample and supported cross-sectional score prediction within the study context, demonstrating the potential for integrating computational approaches with psychological assessment for research on anxiety-related beh...
Chenyan Dong, Aneta Neumann, Ying-Ping Sun et al.· BMC Psychology· 0 citations
EDO is analyzed on a three-objective function LOTZk, which is a modification of the two-objective benchmark function (LeadingOnes, TrailingZeros), and it is proved that the GSEMO computes a set of all Pareto-optimal solutions in O(kn3) expected iterations.
D. Antipov, Aneta Neumann, Frank Neumann et al.· GECCO Companion· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.