activity
19972025
most citedA condition for the genotype-phenotype mapping: Causality

58 citations · 72 across the 6 of their papers we have counts for

collaborators

6 papers

cs.NE2025

Evolutionary Computation as Natural Generative AI

Yaxin Shi, Abhishek Gupta, Ying Wu +7

Generative AI (GenAI) has achieved remarkable success across a range of domains, but its capabilities remain constrained to statistical models of finite training sets and learning…

cs.SE2025

Bursts and Triggers: Socially-Driven Activity in Open-Source Co-Editing Networks

Lisi Qarkaxhija, Maximilian Capraro, Stefan Menzel +2

The long-term sustainability of Open Source Software (OSS) communities depends on the activity of their developers, yet the social mechanisms driving this collective behavior remai…

cs.CL2023★ 1 cited

Large Language and Text-to-3D Models for Engineering Design Optimization

Thiago Rios, Stefan Menzel, Bernhard Sendhoff

The current advances in generative AI for learning large neural network models with the capability to produce essays, images, music and even 3D assets from text prompts create oppo…

cs.NE2023★ 1 cited

Knowledge Transfer for Dynamic Multi-objective Optimization with a Changing Number of Objectives

Gan Ruan, Leandro L. Minku, Stefan Menzel +2

Different from most other dynamic multi-objective optimization problems (DMOPs), DMOPs with a changing number of objectives usually result in expansion or contraction of the Pareto…

cs.NE2021★ 12 cited

A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems

Hao Tong, Leandro L. Minku, Stefan Menzel +2

The capacitated arc routing problem (CARP) is a challenging combinatorial optimisation problem abstracted from many real-world applications, such as waste collection, road gritting…

adap-org1997★ 58 cited

A condition for the genotype-phenotype mapping: Causality

Bernhard Sendhoff, Martin Kreutz, Werner von Seelen

The appropriate choice of the genotype-phenotype mapping in combination with the mutation operator is important for a successful evolutionary search process. We suggest a measure t…