TY - JOUR AB - AbstractApproximation of subdifferentials is one of the main tasks when computing descent directions for nonsmooth optimization problems. In this article, we propose a bisection method for weakly lower semismooth functions which is able to compute new subgradients that improve a given approximation in case a direction with insufficient descent was computed. Combined with a recently proposed deterministic gradient sampling approach, this yields a deterministic and provably convergent way to approximate subdifferentials for computing descent directions. AU - Gebken, Bennet ID - 51208 JF - Computational Optimization and Applications KW - Applied Mathematics KW - Computational Mathematics KW - Control and Optimization SN - 0926-6003 TI - A note on the convergence of deterministic gradient sampling in nonsmooth optimization ER - TY - JOUR AB - In applications of piezoelectric actuators and sensors, the dependability and particularly the reliability throughout their lifetime are vital to manufacturers and end-users and are enabled through condition-monitoring approaches. Existing approaches often utilize impedance measurements over a range of frequencies or velocity measurements and require additional equipment or sensors, such as a laser Doppler vibrometer. Furthermore, the non-negligible effects of varying operating conditions are often unconsidered. To minimize the need for additional sensors while maintaining the dependability of piezoelectric bending actuators irrespective of varying operating conditions, an online diagnostics approach is proposed. To this end, time- and frequency-domain features are extracted from monitored current signals to reflect hairline crack development in bending actuators. For validation of applicability, the presented analysis method was evaluated on piezoelectric bending actuators subjected to accelerated lifetime tests at varying voltage amplitudes and under external damping conditions. In the presence of a crack and due to a diminished stiffness, the resonance frequency decreases and the root-mean-square amplitude of the current signal simultaneously abruptly drops during the lifetime tests. Furthermore, the piezoelectric crack surfaces clapping is reflected in higher harmonics of the current signal. Thus, time-domain features and harmonics of the current signals are sufficient to diagnose hairline cracks in the actuators. AU - Aimiyekagbon, Osarenren Kennedy AU - Bender, Amelie AU - Hemsel, Tobias AU - Sextro, Walter ID - 51518 IS - 3 JF - Electronics KW - piezoelectric transducer KW - self-sensing KW - fault detection KW - diagnostics KW - hairline crack KW - condition monitoring SN - 2079-9292 TI - Diagnostics of Piezoelectric Bending Actuators Subjected to Varying Operating Conditions VL - 13 ER - TY - JOUR AB - Heteroclinic structures organize global features of dynamical systems. We analyse whether heteroclinic structures can arise in network dynamics with higher-order interactions which describe the nonlinear interactions between three or more units. We find that while commonly analysed model equations such as network dynamics on undirected hypergraphs may be useful to describe local dynamics such as cluster synchronization, they give rise to obstructions that allow to design of heteroclinic structures in phase space. By contrast, directed hypergraphs break the homogeneity and lead to vector fields that support heteroclinic structures. AU - Bick, Christian AU - von der Gracht, Sören ID - 52726 IS - 2 JF - Journal of Complex Networks KW - Applied Mathematics KW - Computational Mathematics KW - Control and Optimization KW - Management Science and Operations Research KW - Computer Networks and Communications SN - 2051-1329 TI - Heteroclinic dynamics in network dynamical systems with higher-order interactions VL - 12 ER - TY - CONF AB - Artificial benchmark functions are commonly used in optimization research because of their ability to rapidly evaluate potential solutions, making them a preferred substitute for real-world problems. However, these benchmark functions have faced criticism for their limited resemblance to real-world problems. In response, recent research has focused on automatically generating new benchmark functions for areas where established test suites are inadequate. These approaches have limitations, such as the difficulty of generating new benchmark functions that exhibit exploratory landscape analysis (ELA) features beyond those of existing benchmarks.The objective of this work is to develop a method for generating benchmark functions for single-objective continuous optimization with user-specified structural properties. Specifically, we aim to demonstrate a proof of concept for a method that uses an ELA feature vector to specify these properties in advance. To achieve this, we begin by generating a random sample of decision space variables and objective values. We then adjust the objective values using CMA-ES until the corresponding features of our new problem match the predefined ELA features within a specified threshold. By iteratively transforming the landscape in this way, we ensure that the resulting function exhibits the desired properties. To create the final function, we use the resulting point cloud as training data for a simple neural network that produces a function exhibiting the target ELA features. We demonstrate the effectiveness of this approach by replicating the existing functions of the well-known BBOB suite and creating new functions with ELA feature values that are not present in BBOB. AU - Prager, Raphael Patrick AU - Dietrich, Konstantin AU - Schneider, Lennart AU - Schäpermeier, Lennart AU - Bischl, Bernd AU - Kerschke, Pascal AU - Trautmann, Heike AU - Mersmann, Olaf ID - 47522 KW - Benchmarking KW - Instance Generator KW - Black-Box Continuous Optimization KW - Exploratory Landscape Analysis KW - Neural Networks SN - 9798400702020 T2 - Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms TI - Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features ER - TY - CONF AB - Evolutionary algorithms have been shown to obtain good solutions for complex optimization problems in static and dynamic environments. It is important to understand the behaviour of evolutionary algorithms for complex optimization problems that also involve dynamic and/or stochastic components in a systematic way in order to further increase their applicability to real-world problems. We investigate the node weighted traveling salesperson problem (W-TSP), which provides an abstraction of a wide range of weighted TSP problems, in dynamic settings. In the dynamic setting of the problem, items that have to be collected as part of a TSP tour change over time. We first present a dynamic setup for the dynamic W-TSP parameterized by different types of changes that are applied to the set of items to be collected when traversing the tour. Our first experimental investigations study the impact of such changes on resulting optimized tours in order to provide structural insights of optimization solutions. Afterwards, we investigate simple mutation-based evolutionary algorithms and study the impact of the mutation operators and the use of populations with dealing with the dynamic changes to the node weights of the problem. AU - Bossek, Jakob AU - Neumann, Aneta AU - Neumann, Frank ID - 48869 KW - dynamic optimization KW - evolutionary algorithms KW - re-optimization KW - weighted traveling salesperson problem SN - 9798400701191 T2 - Proceedings of the Genetic and Evolutionary Computation Conference TI - On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem ER - TY - CHAP AB - This chapter presents a discussion of the concept of agency. Agency is understood as a multifaceted construct describing the idea that human beings make choices, act on these choices, and thereby exercise influence on their own lives as well as their environment. We argue that the concept is discussed from three different perspectives in the literature—transformational, dispositional, and relational—that are each related to learning and development in work contexts. These perspectives do not reflect incompatible positions but rather different aspects of the same phenomena. The chapter also offers an avenue of insight into empirical studies that employ agency as a central concept as well as discussions about concepts that closely overlap with ideas of human beings as agents of power and influence. AU - Goller, Michael AU - Paloniemi, Susanna ID - 30289 KW - Agency Workplace learning Professional development Proactivity Self-direction SN - 2210-5549 T2 - Research Approaches on Workplace Learning TI - Agency: Taking Stock of Workplace Learning Research ER - TY - CHAP AB - The article explores the particular quality of changes introduced through the latest wave of digital transformation of workplaces. It has effects on workflow processes, on distribution of work and tasks, and the mode of distributing working tasks, e.g. through cyber-physical systems. Hence, the changes in work are manifold and require changes in vocational education and training as well as in workplace learning. These changes reveal new challenges for research on workplace learning. Finally, conclusions for future workplace learning research will be developed. AU - Harteis, Christian ID - 30290 KW - Digitalisation Self organisation Distribution of labour Automation SN - 2210-5549 T2 - Research Approaches on Workplace Learning TI - Research on Workplace Learning in Times of Digitalisation ER - TY - JOUR AB - AbstractWe consider the problem of maximization of metabolite production in bacterial cells formulated as a dynamical optimal control problem (DOCP). According to Pontryagin’s maximum principle, optimal solutions are concatenations of singular and bang arcs and exhibit the chattering or Fuller phenomenon, which is problematic for applications. To avoid chattering, we introduce a reduced model which is still biologically relevant and retains the important structural features of the original problem. Using a combination of analytical and numerical methods, we show that the singular arc is dominant in the studied DOCPs and exhibits the turnpike property. This property is further used in order to design simple and realistic suboptimal control strategies. AU - Caillau, Jean-Baptiste AU - Djema, Walid AU - Gouzé, Jean-Luc AU - Maslovskaya, Sofya AU - Pomet, Jean-Baptiste ID - 30861 JF - Journal of Optimization Theory and Applications KW - Applied Mathematics KW - Management Science and Operations Research KW - Control and Optimization SN - 0022-3239 TI - Turnpike Property in Optimal Microbial Metabolite Production ER - TY - CONF AB - To build successful software products, developers continuously have to discover what features the users really need. This discovery can be achieved with continuous experimentation, testing different software variants with distinct user groups, and deploying the superior variant for all users. However, existing approaches do not focus on explicit modeling of variants and experiments, which offers advantages such as traceability of decisions and combinability of experiments. Therefore, our vision is the provision of model-driven continuous experimentation, which provides the developer with a framework for structuring the experimentation process. For that, we introduce the overall concept, apply it to the experimentation on component-based software architectures and point out future research questions. In particular, we show the applicability by combining feature models for modeling the software variants, users, and experiments (i.e., model-driven) with MAPE-K for the adaptation (i.e., continuous experimentation) and implementing the concept based on the component-based Angular framework. AU - Gottschalk, Sebastian AU - Yigitbas, Enes AU - Engels, Gregor ID - 29842 KW - continuous experimentation KW - model-driven KW - component-based software architectures KW - self-adaptation T2 - Proceedings of the 18th International Conference on Software Architecture Companion TI - Model-driven Continuous Experimentation on Component-based Software Architectures ER - TY - JOUR AB - Mit steigenden Optimierungsanforderungen an das Individuum wächst auch das indivi- duelle Bedürfnis nach Kontrolle. Dieses kann u. a. durch self tracking-Technologien erfüllt werden. Anhand von drei Fallbeispielen – der Personenwaage, dem Wearable und dem habit tracker – zeigt dieser Aufsatz, wie sich medienbasierte Selbsttechnologien im historischen Verlauf intensiviert und stärker in den Alltag integriert haben. Ein besonderer Fokus liegt dabei auf der Ambivalenz dieser Medien: Ermöglichen sie auf der einen Seite zwar eine Selbstkontrolle und stellen so potenziell sta- bilisierende Ressourcen für das Individuum dar, schaffen sie auf der anderen Seite auch neue Anforderungen, die es zu erfüllen gilt. AU - Schloots, Franziska Margarete ID - 34614 IS - 7 JF - ffk Journal KW - self-tracking KW - Selbsttechnologien KW - Wearable KW - Bullet Journal KW - Personenwaage KW - Selbstvermessung TI - ‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker VL - 6 ER - TY - JOUR AB - Im Zentrum dieses Beitrags stehen Ergebnisse der Messung pädagogischer Kompetenzen Studierender der Theologie, die das Praxissemester in Deutschland absolviert haben. Das bildungswissenschaftliche Wissen, Kompetenzselbsteinschätzungen und ihre Entwicklung sowie die Einschätzung der im Praxissemester erreichten Ziele Studierender werden dabei unter Berücksichtigung der Ausrichtung des Lehramtsstudiums auf eine Schulform betrachtet. Um die Ergebnisse der Messung bildungswissenschaftlichen Wissens und die der Messung von Kompetenzselbsteinschätzungen zu kontextualisieren (N = 304), wird zuerst die Relevanz des (bildungswissenschaftlichen) Wissens als Ausgangspunkt des Könnens herausgearbeitet. Daran anschließend werden Befunde zur schulformspezifischen Professionalisierung resümiert. Anschließend werden Hypothesen hergeleitet, die Anlage der Studie sowie die Testinstrumente vorge- stellt, die Ergebnisse präsentiert und diskutiert. Die Ergebnisse zeigen wider Erwarten, dass sich weder das bildungswissenschaftliche Wissen, die Kompetenzselbsteinschätzungen und ihre Entwicklung noch die Einschätzung der im Praxissemester erreichten Ziele angehender Lehrkräfte in Abhängigkeit der Schulformen unterscheiden. Die Diskussion bezieht sich u.a. auf die Struktur der Lehramtsstudiengänge, die Denkfiguren zur Entwicklung von Können und die Konzeption der Messinstrumente. AU - Caruso, Carina AU - Seifert, Andreas ID - 35136 IS - 1 JF - Österreichische Religionspädagogische Forum KW - Bildungswissenschaftliches Wissen KW - Kompetenzmessung KW - Kompetenzselbsteinschätzung KW - Praxissemester KW - Professionalisierung / competence measurement KW - competence self-assessment KW - educational knowledge KW - internship KW - professionalization SN - 1018-1539 TI - Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch? VL - 30 ER - TY - JOUR AB - Im Zentrum dieses Beitrags stehen Ergebnisse der Messung pädagogischer Kompetenzen Studierender. Dabei werden sowohl das bildungswissenschaftliche Wissen als auch die Entwicklung der Kompe­tenzselbsteinschätzungen in den Bereichen Unterrichten, Erziehen, Beurteilen und Innovieren unter Berücksichtigung individueller Voraussetzungen (Alter, Geschlecht, Abiturnote, Bachelornote, Konfession) betrachtet. Um die Ergeb­nisse hinsichtlich ihrer Bedeutung für die Professionalisierung angehender Lehrkräfte diskutieren zu können, wird, den empirischen Erkenntnissen voranstehend, die Bedeutung von Wissen für berufliches Können herausgearbeitet. Daran anschließend werden Hypothesen hergeleitet, die Anlage der Studie sowie die Testinstrumente vorgestellt, die Ergebnisse präsentiert und diskutiert. Die Ergebnisse zeigen, dass die Abitur- und Bachelornote die Varianz hinsichtlich des pädagogischen Wissens aufklären, sich eine signifikante Entwicklung der Kompetenzselbsteinschätzungen angehender Lehrkräfte feststellen lässt, aber sich angehende Religionslehrkräfte kaum von anderen Studierenden unterscheiden. Die Diskussion nimmt u. a. Rückbezug auf die Denkfiguren zur Entwicklung berufli­chen Könnens und benennt Limitationen, die mit der Studie und Kompetenzmessungen verbunden sind. Daran schließt die Formulierung eines Ausblicks an. Der Beitrag zielt insbesondere darauf, repräsentative Ergebnisse der Kompetenzmessung zu präsentieren und dabei potenzielle Einflussfaktoren auf die studentische Kompetenzent­wicklung zu beleuchten. Ein dadurch angereichertes Konglomerat belastbarer Erkenntnisse zielt darauf, langfristig zur Ableitung lehrerbildungsdidaktischer Überlegungen herangezogen werden zu können, die die studentische Professionalisierung unterstützen. AU - Caruso, Carina AU - Seifert, Andreas ID - 35137 IS - 1 JF - Religionspädagogische Beiträge. Journal for Religion in Education KW - Bildungswissenschaftliches Wissen KW - Kompetenzmessung KW - Kompetenzselbsteinschätzung KW - Praxissemester KW - Professionalisierung / competence measurement KW - competence self-assessment KW - educational knowledge KW - internship KW - professionalization SN - 2750 - 3941 TI - Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen VL - 45 ER - TY - JOUR AU - Bonnard, Bernard AU - Rouot, Jérémy AU - Wembe Moafo, Boris Edgar ID - 35206 JF - Mathematical Control and Related Fields KW - Applied Mathematics KW - Control and Optimization KW - General Medicine SN - 2156-8472 TI - Accessibility properties of abnormal geodesics in optimal control illustrated by two case studies ER - TY - CONF AB - Theoretical approaches to the transformation towards an inclusive educational system in Germany mostly agree on the involvement of developmental tasks in subject related research (Hinz, 2011). The common understanding of inclusion as a process geared towards equal participation of all children (Booth, 2012) requires a reflexive questioning of established values, attitudes and practices in order to develop inclusive subject related research, teacher training and teaching and learning (Pech & Schomaker, 2013). Among other things, this results in consequences for the design of pre- service teacher training. To a large extent, teacher education is driven by the promotion of central competencies, interests and self-efficacy (Baumert & Kunter, 2011). It aims towards the development and realisation of inclusive interdisciplinary science and social studies (‘Sachunterricht’) in primary education (Moser, 2018). In conjunction with largely acknowledged constructivist approaches to teaching and learning (Möller, 2001), the development of personality, the consideration of basic needs (Deci & Ryan, 1993) and promotion of individual potentials are repeatedly fundamentally represented in subject related and pedagogical considerations (Feuser, 1989; GDSU, 2013). Therefore, the aforementioned constructivist approach is connected to several certain key paradigms for teaching and learning processes (e.g., Vygotskij, 1978; Posner et al., 1982; van de Pol et al., 2010). In this regard, the nature of primary school students’ basic needs have empirically not been sufficiently studied yet. Theoretical frameworks from motivational psychology (Deci & Ryan, 1993) do not explicitly address how individual needs differ and how the diversity of needs can be included in joint-learning, multi-perspective technology education classes. The research project the present paper is part of aims to develop a research-based concept for the professionalisation of pre-service teachers in a seminar course. Therefore, the promotion of the pre- service teachers’ interests and self-efficacy expectations have been assessed in a pre-post research design with a control group visiting another course not related to technology education and inclusion. The present paper describes and discusses first results of the project and will give an outlook on subsequent developmental tasks. AU - Schröer, Franz AU - Tenberge, Claudia ED - Gill, David ED - Tuff, Jim ED - Kennedy, Thomas ED - Pendergast, Shawn ED - Jamil, Sana ID - 40046 KW - Inclusion KW - basic needs KW - pre-service teacher training KW - interest KW - self-efficacy T2 - PATT39 - PATT on the Edge Technology, Innovation and Education TI - How to enable pre-service teachers to design technological teaching and learning inclusively? – On the nature and consideration of basic needs in teacher training ER - TY - JOUR AU - Constantiou, Ioanna AU - Mukkamala, Alivelu AU - Sjöklint, Mimmi AU - Trier, Matthias ID - 36083 JF - European Journal of Information Systems KW - Library and Information Sciences KW - Information Systems KW - Self-Tracking KW - User Behaviour KW - Discontinuance SN - 0960-085X TI - Engaging with self-tracking applications: how do users respond to their performance data? ER - TY - CONF AB - While trade-offs between modeling effort and model accuracy remain a major concern with system identification, resorting to data-driven methods often leads to a complete disregard for physical plausibility. To address this issue, we propose a physics-guided hybrid approach for modeling non-autonomous systems under control. Starting from a traditional physics-based model, this is extended by a recurrent neural network and trained using a sophisticated multi-objective strategy yielding physically plausible models. While purely data-driven methods fail to produce satisfying results, experiments conducted on real data reveal substantial accuracy improvements by our approach compared to a physics-based model. AU - Schön, Oliver AU - Götte, Ricarda-Samantha AU - Timmermann, Julia ID - 31066 IS - 12 KW - neural networks KW - physics-guided KW - data-driven KW - multi-objective optimization KW - system identification KW - machine learning KW - dynamical systems T2 - 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022) TI - Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems VL - 55 ER - TY - JOUR AB - Due to failures or even the absence of an electricity grid, microgrid systems are becoming popular solutions for electrifying African rural communities. However, they are heavily stressed and complex to control due to their intermittency and demand growth. Demand side management (DSM) serves as an option to increase the level of flexibility on the demand side by scheduling users’ consumption patterns profiles in response to supply. This paper proposes a demand-side management strategy based on load shifting and peak clipping. The proposed approach was modelled in a MATLAB/Simulink R2021a environment and was optimized using the artificial neural network (ANN) algorithm. Simulations were carried out to test the model’s efficacy in a stand-alone PV-battery microgrid in East Africa. The proposed algorithm reduces the peak demand, smoothing the load profile to the desired level, and improves the system’s peak to average ratio (PAR). The presence of deferrable loads has been considered to bring more flexible demand-side management. Results promise decreases in peak demand and peak to average ratio of about 31.2% and 7.5% through peak clipping. In addition, load shifting promises more flexibility to customers. AU - Philipo, Godiana Hagile AU - Kakande, Josephine Nakato AU - Krauter, Stefan ID - 32403 IS - 14 JF - Energies KW - Energy (miscellaneous) KW - Energy Engineering and Power Technology KW - Renewable Energy KW - Sustainability and the Environment KW - Electrical and Electronic Engineering KW - Control and Optimization KW - Engineering (miscellaneous) KW - Building and Construction SN - 1996-1073 TI - Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping VL - 15 ER - TY - JOUR AB - Due to failures or even the absence of an electricity grid, microgrid systems are becoming popular solutions for electrifying African rural communities. However, they are heavily stressed and complex to control due to their intermittency and demand growth. Demand side management (DSM) serves as an option to increase the level of flexibility on the demand side by scheduling users’ consumption patterns profiles in response to supply. This paper proposes a demand-side management strategy based on load shifting and peak clipping. The proposed approach was modelled in a MATLAB/Simulink R2021a environment and was optimized using the artificial neural network (ANN) algorithm. Simulations were carried out to test the model’s efficacy in a stand-alone PV-battery microgrid in East Africa. The proposed algorithm reduces the peak demand, smoothing the load profile to the desired level, and improves the system’s peak to average ratio (PAR). The presence of deferrable loads has been considered to bring more flexible demand-side management. Results promise decreases in peak demand and peak to average ratio of about 31.2% and 7.5% through peak clipping. In addition, load shifting promises more flexibility to customers. AU - Philipo, Godiana Hagile AU - Kakande, Josephine Nakato AU - Krauter, Stefan ID - 47961 IS - 14 JF - Energies KW - Energy (miscellaneous) KW - Energy Engineering and Power Technology KW - Renewable Energy KW - Sustainability and the Environment KW - Electrical and Electronic Engineering KW - Control and Optimization KW - Engineering (miscellaneous) KW - Building and Construction SN - 1996-1073 TI - Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping VL - 15 ER - TY - CONF AB - Ultrasonic wire bonding is a solid-state joining process used to form electrical interconnections in micro and power electronics and batteries. A high frequency oscillation causes a metallurgical bond deformation in the contact area. Due to the numerous physical influencing factors, it is very difficult to accurately capture this process in a model. Therefore, our goal is to determine a suitable feed-forward control strategy for the bonding process even without detailed model knowledge. We propose the use of batch constrained Bayesian optimization for the control design. Hence, Bayesian optimization is precisely adapted to the application of bonding: the constraint is used to check one quality feature of the process and the use of batches leads to more efficient experiments. Our approach is suitable to determine a feed-forward control for the bonding process that provides very high quality bonds without using a physical model. We also show that the quality of the Bayesian optimization based control outperforms random search as well as manual search by a user. Using a simple prior knowledge model derived from data further improves the quality of the connection. The Bayesian optimization approach offers the possibility to perform a sensitivity analysis of the control parameters, which allows to evaluate the influence of each control parameter on the bond quality. In summary, Bayesian optimization applied to the bonding process provides an excellent opportunity to develop a feedforward control without full modeling of the underlying physical processes. AU - Hesse, Michael AU - Hunstig, Matthias AU - Timmermann, Julia AU - Trächtler, Ansgar ID - 29803 KW - Bayesian optimization KW - Wire bonding KW - Feed-forward control KW - model-free design SN - 978-989-758-549-4 T2 - Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM) TI - Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design ER - TY - CONF AB - In multimodal multi-objective optimization (MMMOO), the focus is not solely on convergence in objective space, but rather also on explicitly ensuring diversity in decision space. We illustrate why commonly used diversity measures are not entirely appropriate for this task and propose a sophisticated basin-based evaluation (BBE) method. Also, BBE variants are developed, capturing the anytime behavior of algorithms. The set of BBE measures is tested by means of an algorithm configuration study. We show that these new measures also transfer properties of the well-established hypervolume (HV) indicator to the domain of MMMOO, thus also accounting for objective space convergence. Moreover, we advance MMMOO research by providing insights into the multimodal performance of the considered algorithms. Specifically, algorithms exploiting local structures are shown to outperform classical evolutionary multi-objective optimizers regarding the BBE variants and respective trade-off with HV. AU - Heins, Jonathan AU - Rook, Jeroen AU - Schäpermeier, Lennart AU - Kerschke, Pascal AU - Bossek, Jakob AU - Trautmann, Heike ED - Rudolph, Günter ED - Kononova, Anna V. ED - Aguirre, Hernán ED - Kerschke, Pascal ED - Ochoa, Gabriela ED - Tusar, Tea ID - 48882 KW - Anytime behavior KW - Benchmarking KW - Continuous optimization KW - Multi-objective optimization KW - Multimodality KW - Performance metric SN - 978-3-031-14714-2 T2 - Parallel Problem Solving from Nature (PPSN XVII) TI - BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems ER -