activity
20182026
most citedScalable Many-Objective Pathfinding Benchmark Suite

32 citations · 60 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.NE2024

Optimized Drug Design using Multi-Objective Evolutionary Algorithms with SELFIES

Tomoya Hömberg, Sanaz Mostaghim, Satoru Hiwa +1

Computer aided drug design is a promising approach to reduce the tremendous costs, i.e. time and resources, for developing new medicinal drugs. It finds application in aiding the t…

cs.NE2021

Optimal Control Policies to Address the Pandemic Health-Economy Dilemma

Rohit Salgotra, Thomas Seidelmann, Dominik Fischer +2

Non-pharmaceutical interventions (NPIs) are effective measures to contain a pandemic. Yet, such control measures commonly have a negative effect on the economy. Here, we propose a…

cs.NE2020★ 32 cited

Scalable Many-Objective Pathfinding Benchmark Suite

Jens Weise, Sanaz Mostaghim

Route planning also known as pathfinding is one of the key elements in logistics, mobile robotics and other applications, where engineers face many conflicting objectives. However,…

cs.NE2020★ 1 cited

sKPNSGA-II: Knee point based MOEA with self-adaptive angle for Mission Planning Problems

Cristian Ramirez-Atencia, Sanaz Mostaghim, David Camacho

Real-world and complex problems have usually many objective functions that have to be optimized all at once. Over the last decades, Multi-Objective Evolutionary Algorithms (MOEAs)…

cs.NE2018★ 12 cited

How swarm size during evolution impacts the behavior, generalizability, and brain complexity of animats performing a spatial navigation task

Dominik Fischer, Sanaz Mostaghim, Larissa Albantakis

While it is relatively easy to imitate and evolve natural swarm behavior in simulations, less is known about the social characteristics of simulated, evolved swarms, such as the op…