document

Optimizing the pump schedule of water distribution systems using a deep learning meta-model: To what extent can algorithm unrolling optimize the pump schedule of an urban water distribution system?

Mertzanis, Nick (author)

This thesis investigates the integration of algorithm unrolling and genetic algorithms (GA) for optimizing pump scheduling in water distribution systems (WDS), a critical component for ensuring energy-efficient water delivery. In the context of modern civilization’s reliance on clean, affordable water for diverse uses, the operation of a WDS,...

master thesis 2024

document

Scalarizing Multi-Objective Robot Planning Problems Using Weighted Maximization

Wilde, N. (author), Smith, Stephen L. (author), Alonso-Mora, J. (author)

When designing a motion planner for autonomous robots there are usually multiple objectives to be considered. However, a cost function that yields the desired trade-off between objectives is not easily obtainable. A common technique across many applications is to use a weighted sum of relevant objective functions and then carefully adapt the...

journal article 2024

document

Buffer scheduling for improving on-time performance and connectivity with a multi-objective simulation–optimization model: A proof of concept for the airline industry

van Schilt, Isabelle M. (author), van Kalker, Jonna (author), Lefter, I. (author), Kwakkel, J.H. (author), Verbraeck, A. (author)

Schedule design in the transportation and logistics sector is a widely studied problem. Transport service providers, such as the train industry and aviation, aim for schedules to be on-time according to the planning (i.e., on-time performance or OTP) in order to increase the service level by ensuring that passengers actually make their...

journal article 2024

document

Optimizing safety barrier allocation to prevent domino effects in large-scale chemical clusters using graph theory and optimization algorithms

Zhang, Muchen (author), Li, Zelin (author), Hou, Shuya (author), Deng, Siyu (author), Reniers, G.L.L.M.E. (author), Yang, M. (author), Zhang, Bin (author)

Domino effects are high-impact low-probability events that can have catastrophic consequences. To prevent and to reduce risks related to such events, safety barriers (SBs) are crucial. However, the initiation, propagation, and stopping processes of domino effects are characterized with complexity and uncertainties and hence they are...

journal article 2024

document

Statistically Distinct Plans for Multi-Objective Task Assignment

Wilde, N. (author), Alonso-Mora, J. (author)

We study the problem of finding statistically distinct plans for stochastic task assignment problems such as online multi-robot pickup and delivery (MRPD) when facing multiple competing objectives. In many real-world settings robot fleets do not only need to fulfil delivery requests, but also have to consider auxiliary objectives such as...

journal article 2024

document

Keeping your best options open with AI-based treatment planning in prostate and cervix brachytherapy

Dickhoff, Leah R.M. (author), Scholman, R.J. (author), Barten, Danique L.J. (author), Kerkhof, Ellen M. (author), Roorda, Jelmen J. (author), Velema, Laura A. (author), Stalpers, Lukas J.A. (author), Pieters, Bradley R. (author), Bosman, P.A.N. (author), Alderliesten, T. (author)

PURPOSE: Without a clear definition of an optimal treatment plan, no optimization model can be perfect. Therefore, instead of automatically finding a single “optimal” plan, finding multiple, yet different near-optimal plans, can be an insightful approach to support radiation oncologists in finding the plan they are looking for. METHODS AND...

review 2024

document

Comparison of Compact and Decentralized Urban Development Pathways for Flood Mitigation in Urbanizing Deltas: Guangzhou in the Pearl River Delta as a Case Study

Lin, Weibin (author), Sun, Yimin (author), Nijhuis, S. (author)

Floods are common and inevitable natural disasters. Achieve Sustainable Development Goal (SDG) 11.5 is a critical challenge for coastal cities, especially those in deltaic lowlands such as in the case of Guangzhou, China. Regarding the spatial planning and design of such urban regions, it is crucial to study the impacts of flooding in compact or...

journal article 2024

document

Electric Ground Support Equipment at Airports: The impact of implementing eGSE on the capacity and demand of GSE fleets

Timmermans, Koen (author)

Airports and airlines are examining and committing to the electrification of Ground Support Equipment (GSE). To be able to estimate the required quantity of eGSE, the charging requirements of eGSE, the change of airport electricity requirements, and the scheduling possibilities of eGSE charging for the existing turnaround procedures, a model was...

master thesis 2023

document

Driving Toward Sustainability: Large-Scale Electric Road Systems for Road Freight - an optimization model for ERS Network Planning

Liao, Ximeng (author)

As societies worldwide grapple with the urgent need to mitigate carbon emissions, one domain where substantial strides can be made is heavy-duty road freight transport. Electrification has emerged as a practical and technologically mature solution to address this challenge. However, the widespread adoption of electrification in this sector is...

master thesis 2023

document

Optimization Strategies for System Architecting Problems

Valencia Ibañez, Santiago (author)

System architecting is one of the first stages of the engineering problem-solving process. Pivotal decisions regarding the system's overall configuration are taken in this phase. Consequently, decision support tools like system architecture optimization are needed to effectively assess the architectural design space. However, system architecture...

master thesis 2023

document

Exploring distributive justice in water resource allocation: A rival framings approach on the operationalization of equality in multi-objective optimization models for water systems

Rimon, Farley (author)

Water, an essential resource for diverse purposes like environmental protection, urban water supply, energy generation, and agriculture, faces intensifying demand amid depleting supplies. Multi-Objective Optimization (MOO)-models are vital for addressing complex water system challenges with limited resources. However, varying approaches to...

master thesis 2023

document

Deep Generative Design: A Deep Learning Framework for Optimized Spatial Truss Structures with Stock Constraints

Sterrenberg, Amy (author)

Energy use, CO2 emissions, and waste production are all significant causes of environmental issues. The building sector is a major contributor to these problems, specifically the manufacturing of (structural) steel elements. Application of reuse and/or remanufacturing, as done in a circular economy, will reduce these effects. Therefore, these...

master thesis 2023

document

Multi-objective Deep Reinforcement Learning for predictive maintenance of road networks

Krachtopoulos, Konstantinos (author)

Operation and maintenance of the built environment have a major effect on socioeconomic stability and sustainability. A significant part of our built world approaches or has well exceeded its designated structural life. As engineers, we need to find efficient ways to extend this life while maintaining acceptable levels of safety and performance....

master thesis 2023

document

Efficient mapping of large scale SNN and rate-based DNN on SENeCA

Nembhani, Prithvish Vijaykumar (author)

Artificial intelligence, machine learning, and deep learning have been the buzzwords in almost every industry (medical, automotive, defense, security, finance, etc.) for the last decade. As the market moves towards AI-based solutions, so does the computation need for these solutions increase and change with time. With the rise of smart cities...

master thesis 2023

document

Optimization Framework of a Ram Air Inlet Composite Morphing Flap

Carrillo Córcoles, X. (author), Sodja, J. (author), De Breuker, R. (author)

The ram air inlets flaps are used in some aircraft to modulate the amount of ram<br/>air cooling the Environmental Control System. The current flap design features two metallic plates connected with a hinge. The present work studies an alternative design that replaces the metallic plates with a single composite laminate with morphing...

conference paper 2023

document

Operations Eclipse Sequencing in Multipurpose Dam Planning

Arnold, Wyatt (author), Zatarain Salazar, J. (author), Carlino, Angelo (author), Giuliani, Matteo (author), Castelletti, Andrea (author)

A resurgence of dam planning and construction is under way in river basins where untapped hydropower potential could meet growing energy demands. Despite calls for more comprehensive evaluation of dam projects, most dams continue to be planned with traditional methods that neglect interdependencies between planning and management and cumulative...

journal article 2023

document

A Hybrid Approach for Considering Topography in Graph-Based Optimization of Water Distribution Networks

Sitzenfrei, Robert (author), Qiu, Mengning (author), Ostfeld, Avi (author), Savic, Dragan (author), Kapelan, Z. (author)

Water distribution networks (WDNs) are a vital component of urban water infrastructure. They transport water from production sites (sources) to spatially distributed consumers (sinks). Multiobjective optimization procedures are often used to minimize construction costs and at the same time maximize the resilience of such systems, which is...

conference paper 2023

document

An epsilon-constraint-based exact multi-objective optimization approach for the ship schedule recovery problem in liner shipping

Elmi, Zeinab (author), Li, Bokang (author), Liang, Benbu (author), Lau, Yui yip (author), Borowska-Stefańska, Marta (author), Wiśniewski, Szymon (author), Dulebenets, Maxim A. (author)

Time management is crucial for liner shipping services. A variety of unexpected events can disrupt liner shipping schedules. A real-time port capacity analysis and rescheduling the original ship operations would be necessary to counteract the negative effects of such disruptions. Different ship schedule recovery options can be adopted in...

journal article 2023

document

Early-stage analysis of a novel insulation material based on MPCM-doped cementitious foam: Modelling of properties, identification of production process hotspots and exploration of performance trade-offs

Zhilyaev, D. (author), Fachinotti, Victor D. (author), Zanoni, Francesca (author), Ortega, Amaya (author), Goracci, Guido (author), Mankel, Christoph (author), Koenders, Eduardus A.B. (author), Jonkers, H.M. (author)

This study presents an early-stage design exploration of NRG-Foam, an innovative insulation material composed of cementitious foam doped with microencapsulated phase change materials (MPCMs). The study comprises the static part that utilizes life cycle assessment and life cycle costing assessment for getting insight into the impacts of the...

journal article 2023

document

Multi-objective Learning Using HV Maximization

Deist, Timo M. (author), Grewal, M. (author), Dankers, Frank J.W.M. (author), Alderliesten, T. (author), Bosman, P.A.N. (author)

Real-world problems are often multi-objective, with decision-makers unable to specify a priori which trade-off between the conflicting objectives is preferable. Intuitively, building machine learning solutions in such cases would entail providing multiple predictions that span and uniformly cover the Pareto front of all optimal trade-off...

conference paper 2023