Publications related to Cutting stock problem

Optimum Frame Design with Reused Stock Elements

Corentin Jean Dominique Fivet, Gennaro Senatore, Jan Friedrich Georg Brütting

This paper presents optimization methods for the synthesis of frame structures from a stock of reused elements. Reusing structural elements over multiple service lives has the potential to reduce the environmental impacts of building structures. This is be ...

2019

Analytical Approach for Active Distribution Network Restoration Including Optimal Voltage Regulation

Hossein Sekhavatmanesh

The ever-increasing utilization of sensitive loads in the industrial, commercial, and residential areas in distribution networks requires enhanced reliability and quality of supply. This can be achieved, thanks to self-healing features of smart grids that ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

An Optimal Planning Framework to Deploy Self-Reconfigurable Modular Robots

Auke Ijspeert, Mehmet Hasan Mutlu, Simon Lukas Hauser, Hala Khodr, Alexandre Bernardino

Self-reconfiguration is a hard problem due to the high dimensionality of self-reconfigurable modular systems. Searchbased approaches offer complete and optimal solutions. However, naive search algorithms cannot directly solve self-reconfiguration tasks in ...

2019

Delay-Power-Rate-Distortion Optimization of Video Representations for Dynamic Adaptive Streaming

Pascal Frossard, Laura Toni, Chenglin Li

Dynamic adaptive streaming addresses user heterogeneity by providing multiple encoded representations at different rates and/or resolutions for the same video content. For delay-sensitive applications, such as live streaming, there is however a stringent r ...

IEEE2018

Using Structural Properties for Integer Programs

Kim-Manuel Klein

Integer programs (IPs) are one of the fundamental tools used to solve combinatorial problems in theory and practice. Understanding the structure of solutions of IPs is thus helpful to argue about the existence of solutions with a certain simple structure, ...

SPRINGER INTERNATIONAL PUBLISHING AG2018

Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints

Boi Faltings, Andreas Krause, Goran Radanovic

We study a problem of optimal information gathering from multiple data providers that need to be incentivized to provide accurate information. This problem arises in many real world applications that rely on crowdsourced data sets, but where the process of ...

ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2018

Early-stage decision making approach for the selection of optimally integrated biorefinery processes

François Maréchal, Adriano Viana Ensinas, Shivom Sharma, Ayse Dilan Celebi

Lignocellulosic biorefineries are the best non-petroleum alternatives for a sustainable development. In the biorefinery process design, it is important to implement an algorithm that allows the systematic generation and the evaluation of energy conversion ...

2017

Early-stage decision making approach for the selection of optimally integrated biorefinery processes

François Maréchal, Adriano Viana Ensinas, Shivom Sharma, Ayse Dilan Celebi

Lignocellulosic biorefineries are the best non-petroleum alternatives for a sustainable development. In the biorefinery process design, it is important to implement an algorithm that allows systematic generation, evaluation of energy conversion chains and ...

2017

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Cutting stock problem

Optimum Frame Design with Reused Stock Elements

Analytical Approach for Active Distribution Network Restoration Including Optimal Voltage Regulation

An Optimal Planning Framework to Deploy Self-Reconfigurable Modular Robots

Delay-Power-Rate-Distortion Optimization of Video Representations for Dynamic Adaptive Streaming

Using Structural Properties for Integer Programs

Integration of passenger satisfaction in railway timetable rescheduling for major disruptions

Resource Allocation for Underlaying Device-to-Device Communications Using Maximal Independent Sets and Knapsack Algorithm

Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints

Early-stage decision making approach for the selection of optimally integrated biorefinery processes

Early-stage decision making approach for the selection of optimally integrated biorefinery processes

Graph Chatbot

Chat with Graph Search

An Optimal Planning Framework to Deploy Self-Reconfigurable Modular Robots

Early-stage decision making approach for the selection of optimally integrated biorefinery processes

Using Structural Properties for Integer Programs

Delay-Power-Rate-Distortion Optimization of Video Representations for Dynamic Adaptive Streaming

Integration of passenger satisfaction in railway timetable rescheduling for major disruptions

Resource Allocation for Underlaying Device-to-Device Communications Using Maximal Independent Sets and Knapsack Algorithm

Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints

Early-stage decision making approach for the selection of optimally integrated biorefinery processes

Optimum Frame Design with Reused Stock Elements

Analytical Approach for Active Distribution Network Restoration Including Optimal Voltage Regulation