Andreas Beham
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View article: Walking through the Quadratic Assignment-Instance Space: Algorithm Performance and Landscape Measures
Walking through the Quadratic Assignment-Instance Space: Algorithm Performance and Landscape Measures Open
This paper presents an analysis of the trends and behavior of Fitness Landscape Analysis (FLA) and corresponding algorithm performance features for instances of the Quadratic Assignment Problem (QAP) and the instance space between them. Gi…
View article: A Novel Benchmark Environment for Dynamic Factory Crane Scheduling
A Novel Benchmark Environment for Dynamic Factory Crane Scheduling Open
In dynamic warehouse operations, factory crane scheduling is a challenging problem to be solved. The interplay between a number of cranes requires good coordination to efficiently handle requested transport orders within the warehouse. The…
View article: Simulation-based Optimization of Material Requirements Planning Parameters
Simulation-based Optimization of Material Requirements Planning Parameters Open
The performance of modern production systems often depends upon automated production planning strategies such as material requirements planning. Parametrizing, evaluating and comparing these strategies by testing them in the real world is …
View article: DynStack
DynStack Open
Dynamic optimization problems (DOPs) are an underrepresented class in benchmarking evolutionary computation systems (ECS). Most benchmarks focus on more or less expensive problems, but which never change during the optimization. In real-wo…
View article: Integrated Machine Learning in Open-Ended Crane Scheduling: Learning Movement Speeds and Service Times
Integrated Machine Learning in Open-Ended Crane Scheduling: Learning Movement Speeds and Service Times Open
Many real-world processes are of dynamic nature and therefore subject to change. In this paper, dynamic warehouse operations are taken care of, more specifically crane operations that involve moving steel coils between storage locations wi…
View article: Fitness Landscape Analysis on Binary Dynamic Optimization Problems
Fitness Landscape Analysis on Binary Dynamic Optimization Problems Open
Fitness Landscape Analysis (FLA) denotes the task of analyzing black-box optimization problems and capturing their characteristic features with the goal of providing additional information, that may help in algorithm selection, parametriza…
View article: Dynamic Warehouse Environments for Crane Stacking and Scheduling
Dynamic Warehouse Environments for Crane Stacking and Scheduling Open
Dynamic optimization is of high practical relevance for many production and logistics processes. Often however, in research, the dynamics are neglected and an algorithm or optimization is presented for a static decision scenario. The effec…
View article: Optimization Networks for Integrated Machine Learning
Optimization Networks for Integrated Machine Learning Open
Optimization networks are a new methodology for holistically solving interrelated problems that have been developed with combinatorial optimization problems in mind. In this contribution we revisit the core principles of optimization netwo…
View article: Dynamic online optimization in the context of smart manufacturing: an overview
Dynamic online optimization in the context of smart manufacturing: an overview Open
Solving manufacturing optimization problems in the context of intelligent production involves the consideration of continuously changing events of the respective enterprise environment in real time. Smart solution methods are needed which …
View article: Hyper-parameter handling for gaussian processes in efficient global optimization
Hyper-parameter handling for gaussian processes in efficient global optimization Open
In simulation-based optimization, a common issue with many meta-heuristic algorithms is the limited computational budget. Performing a simulation is usually considerably more time-consuming than evaluating a closed mathematical function. S…
View article: Effects of arrival uncertainty on solver performance in dynamic stacking problems
Effects of arrival uncertainty on solver performance in dynamic stacking problems Open
In this paper we present a dynamic stacking problem with uncertainty. We developed a simulation environment, an optimizer for solving it, and performance measures to determine the success of the optimizer. The problem requires handling inc…
View article: Performance, Quality, and Control in Steel Logistics 4.0
Performance, Quality, and Control in Steel Logistics 4.0 Open
In the steel industry, logistics is very often part of the value chain since storage processes and therefore cooling processes contribute to the product quality to a very larger degree. As a result, steel logistics is concerned with the st…
View article: On Constraint Programming for a New Flexible Project Scheduling Problem with Resource Constraints
On Constraint Programming for a New Flexible Project Scheduling Problem with Resource Constraints Open
The content of this conribution represents the following submission:Hauder, V.A., Beham, A., Raggl, S., Parragh, S.N., Affenzeller, M. (2019). On Constraint Programming for a New Flexible Project Scheduling Problem with Resource Constraint…
View article: Influence of Workforce Qualification on Service Level in a Flow Shop with two Lines
Influence of Workforce Qualification on Service Level in a Flow Shop with two Lines Open
Finding the optimal workforce qualification is important in many different industries. Cross-qualifications play an important role if workers are required to perform various tasks during working hours. This is especially crucial in product…