Multi-Criteria Decision Making in Earth Observation Satellite Scheduling: Towards Autonomous Decision Making with Preference-based Optimization

Alex Elkjær Vasegaard

doi:10.13140/RG.2.2.14476.49281

Multi-Criteria Decision Making in Earth Observation Satellite Scheduling: Towards Autonomous Decision Making with Preference-based Optimization

Research output: Contribution to conference without publisher/journal › Poster › Research

Abstract

Complex decision environments (CDEs)* with which decisions are governed by large-scale NP-hard optimization problems residing in an uncertain (stochastic or fuzzy) environment of multi-objectivity while facing real-time computation requirements are difficult. I investigate a priori optimization methods to solve two selected problems within CDEs; the Satellite image acquisition scheduling problem (SIASP) and the Uncrewed aerial vehicle routing problem (UAVRP) in Search and Rescue applications. *as defined and investigated in my PhD dissertation

Original language	English
Publication date	9 Nov 2023
DOIs	https://doi.org/10.13140/RG.2.2.14476.49281
Publication status	Published - 9 Nov 2023
Event	The National Space Event 2023 - Syddansk Universitet, Odense, Denmark Duration: 9 Nov 2023 → 10 Nov 2023 https://www.tilmeld.dk/spaceconference2023/conference

Conference

Conference	The National Space Event 2023
Location	Syddansk Universitet
Country/Territory	Denmark
City	Odense
Period	09/11/2023 → 10/11/2023
Internet address	https://www.tilmeld.dk/spaceconference2023/conference

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title = "Multi-Criteria Decision Making in Earth Observation Satellite Scheduling: Towards Autonomous Decision Making with Preference-based Optimization",

abstract = "Complex decision environments (CDEs)* with which decisions are governed by large-scale NP-hard optimization problems residing in an uncertain (stochastic or fuzzy) environment of multi-objectivity while facing real-time computation requirements are difficult. I investigate a priori optimization methods to solve two selected problems within CDEs; the Satellite image acquisition scheduling problem (SIASP) and the Uncrewed aerial vehicle routing problem (UAVRP) in Search and Rescue applications. *as defined and investigated in my PhD dissertation",

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doi = "10.13140/RG.2.2.14476.49281",

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T2 - The National Space Event 2023

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N2 - Complex decision environments (CDEs)* with which decisions are governed by large-scale NP-hard optimization problems residing in an uncertain (stochastic or fuzzy) environment of multi-objectivity while facing real-time computation requirements are difficult. I investigate a priori optimization methods to solve two selected problems within CDEs; the Satellite image acquisition scheduling problem (SIASP) and the Uncrewed aerial vehicle routing problem (UAVRP) in Search and Rescue applications. *as defined and investigated in my PhD dissertation

AB - Complex decision environments (CDEs)* with which decisions are governed by large-scale NP-hard optimization problems residing in an uncertain (stochastic or fuzzy) environment of multi-objectivity while facing real-time computation requirements are difficult. I investigate a priori optimization methods to solve two selected problems within CDEs; the Satellite image acquisition scheduling problem (SIASP) and the Uncrewed aerial vehicle routing problem (UAVRP) in Search and Rescue applications. *as defined and investigated in my PhD dissertation

UR - https://www.researchgate.net/publication/374948829_Multi-Criteria_Decision_Making_in_Earth_Observation_Satellite_Scheduling_Towards_Autonomous_Decision_Making_with_Preference-based_Optimization

U2 - 10.13140/RG.2.2.14476.49281

DO - 10.13140/RG.2.2.14476.49281

M3 - Poster

Y2 - 9 November 2023 through 10 November 2023

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Multi-Criteria Decision Making in Earth Observation Satellite Scheduling: Towards Autonomous Decision Making with Preference-based Optimization

Abstract

Conference

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Other files and links

A Three-Stage MCDM and Extended Longest Path Algorithm for the Satellite Image Acquisition Scheduling Problem

EOSpython Version 0.0.11: A Framework for Scenario Generation and a Solution System for the Agile Earth Observation Satellite Scheduling Problem

Multi-Criteria Decision Making in Complex Decision Environments

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