As the construction and use of photovoltaic (PV) systems grow due to environmental concerns and energy crises, effective monitoring of their efficiency becomes increasingly crucial. Light Induced Degradation and soiling
SwarmIn’s innovative approach integrates AI to optimize production plants by balancing work-in-progress (WIP) and flow factors with energy and resource efficiency. Our strategy combines high-level combinatorial optimization with low-level swarm
Explore the frontier of agent-based swarm intelligence research with SWILT, a project dedicated to integrating dynamic scheduling and logistical optimizations in industrial settings through novel swarm intelligence algorithms. Within a
Explore the innovative world of photovoltaic system optimization with the project “Self-Adaptive Cross-Agent Intelligence for Photovoltaic Systems” (PVSwarm). Spearheaded by Lakeside Labs GmbH in collaboration with notable partners, this forward-thinking initiative is set to
The innovative strides of the SwarmIn project have garnered significant attention, culminating in its feature in an ORF documentary. This spotlight on SwarmIn showcases its groundbreaking work in integrating swarm intelligence with combinatorial optimization
In an exploration of how nature’s principles can influence technological advancements, a recent article from “Der Standard” delves into the concept of swarm intelligence and its application in the production of computer chips. The
In modern industry, where thousands of machines work under one roof to manufacture a wide variety of products, the demands on efficiency and coordination are constantly increasing. A promising research project led by Melanie
In job shop-configured production facilities, the overarching scheduling challenge is recognized as NP-hard and can scale to vast complexities. Classical optimization techniques such as linear optimization often fail to be effective in these scenarios
The SWILT project is centered around managing collectives of cyber-physical systems (CPS) in industrial settings, such as groups of products or machinery. These systems are increasingly prevalent in various sectors, including the Internet of
Explore the future of industry with the SwarmIn project, an ambitious initiative at the forefront of Industry 4.0 technology. This fact sheet delves into how SwarmIn combines swarm intelligence with combinatorial optimization to enhance
This paper introduces an approach to enhance production scheduling systems through the implementation of an artificial hormone algorithm. It focuses on lots that must complete several processing stages across various machines, with each lot’s
The SWILT project at Alpen-Adria-Universität Klagenfurt, starting October 2018 and funded with 1 million Euros, aims to revolutionize Industry 4.0 through swarm intelligence. This three-year research collaboration between Lakeside Labs GmbH, Alpen-Adria-Universität Klagenfurt, Infineon
