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<titleInfo><title>Bi-Objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm</title></titleInfo>


<note type="publicationStatus">published</note>



<name type="personal">
  <namePart type="given">Jakob</namePart>
  <namePart type="family">Bossek</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">102979</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0002-4121-4668</description></name>
<name type="personal">
  <namePart type="given">Christian</namePart>
  <namePart type="family">Grimme</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Stephan</namePart>
  <namePart type="family">Meisel</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Günter</namePart>
  <namePart type="family">Rudolph</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Heike</namePart>
  <namePart type="family">Trautmann</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>



<name type="personal"><namePart type="given">Kalyanmoy</namePart><namePart type="family">Deb</namePart>
  <role> <roleTerm type="text">editor</roleTerm> </role></name>
<name type="personal"><namePart type="given">Erik</namePart><namePart type="family">Goodman</namePart>
  <role> <roleTerm type="text">editor</roleTerm> </role></name>
<name type="personal"><namePart type="given">Carlos A.</namePart><namePart type="family">Coello Coello</namePart>
  <role> <roleTerm type="text">editor</roleTerm> </role></name>
<name type="personal"><namePart type="given">Kathrin</namePart><namePart type="family">Klamroth</namePart>
  <role> <roleTerm type="text">editor</roleTerm> </role></name>
<name type="personal"><namePart type="given">Kaisa</namePart><namePart type="family">Miettinen</namePart>
  <role> <roleTerm type="text">editor</roleTerm> </role></name>
<name type="personal"><namePart type="given">Sanaz</namePart><namePart type="family">Mostaghim</namePart>
  <role> <roleTerm type="text">editor</roleTerm> </role></name>
<name type="personal"><namePart type="given">Patrick</namePart><namePart type="family">Reed</namePart>
  <role> <roleTerm type="text">editor</roleTerm> </role></name>




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  <namePart></namePart>
  <identifier type="local">819</identifier>
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<abstract lang="eng">We tackle a bi-objective dynamic orienteering problem where customer requests arise as time passes by. The goal is to minimize the tour length traveled by a single delivery vehicle while simultaneously keeping the number of dismissed dynamic customers to a minimum. We propose a dynamic Evolutionary Multi-Objective Algorithm which is grounded on insights gained from a previous series of work on an a-posteriori version of the problem, where all request times are known in advance. In our experiments, we simulate different decision maker strategies and evaluate the development of the Pareto-front approximations on exemplary problem instances. It turns out, that despite severely reduced computational budget and no oracle-knowledge of request times the dynamic EMOA is capable of producing approximations which partially dominate the results of the a-posteriori EMOA and dynamic integer linear programming strategies.</abstract>

<originInfo><publisher>Springer International Publishing</publisher><dateIssued encoding="w3cdtf">2019</dateIssued>
</originInfo>
<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
</language>

<subject><topic>Combinatorial optimization</topic><topic>Dynamic optimization</topic><topic>Metaheuristics</topic><topic>Multi-objective optimization</topic><topic>Vehicle routing</topic>
</subject>


<relatedItem type="host"><titleInfo><title>Evolutionary Multi-Criterion Optimization (EMO)</title></titleInfo>
  <identifier type="isbn">978-3-030-12598-1</identifier><identifier type="doi">10.1007/978-3-030-12598-1_41</identifier>
<part><extent unit="pages">516–528</extent>
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<note type="extern">yes</note>
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<short>J. Bossek, C. Grimme, S. Meisel, G. Rudolph, H. Trautmann, in: K. Deb, E. Goodman, C.A. Coello Coello, K. Klamroth, K. Miettinen, S. Mostaghim, P. Reed (Eds.), Evolutionary Multi-Criterion Optimization (EMO), Springer International Publishing, Cham, 2019, pp. 516–528.</short>
<chicago>Bossek, Jakob, Christian Grimme, Stephan Meisel, Günter Rudolph, and Heike Trautmann. “Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm.” In &lt;i&gt;Evolutionary Multi-Criterion Optimization (EMO)&lt;/i&gt;, edited by Kalyanmoy Deb, Erik Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, and Patrick Reed, 516–528. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2019. &lt;a href=&quot;https://doi.org/10.1007/978-3-030-12598-1_41&quot;&gt;https://doi.org/10.1007/978-3-030-12598-1_41&lt;/a&gt;.</chicago>
<apa>Bossek, J., Grimme, C., Meisel, S., Rudolph, G., &amp;#38; Trautmann, H. (2019). Bi-Objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm. In K. Deb, E. Goodman, C. A. Coello Coello, K. Klamroth, K. Miettinen, S. Mostaghim, &amp;#38; P. Reed (Eds.), &lt;i&gt;Evolutionary Multi-Criterion Optimization (EMO)&lt;/i&gt; (pp. 516–528). Springer International Publishing. &lt;a href=&quot;https://doi.org/10.1007/978-3-030-12598-1_41&quot;&gt;https://doi.org/10.1007/978-3-030-12598-1_41&lt;/a&gt;</apa>
<ieee>J. Bossek, C. Grimme, S. Meisel, G. Rudolph, and H. Trautmann, “Bi-Objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm,” in &lt;i&gt;Evolutionary Multi-Criterion Optimization (EMO)&lt;/i&gt;, 2019, pp. 516–528, doi: &lt;a href=&quot;https://doi.org/10.1007/978-3-030-12598-1_41&quot;&gt;10.1007/978-3-030-12598-1_41&lt;/a&gt;.</ieee>
<ama>Bossek J, Grimme C, Meisel S, Rudolph G, Trautmann H. Bi-Objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm. In: Deb K, Goodman E, Coello Coello CA, et al., eds. &lt;i&gt;Evolutionary Multi-Criterion Optimization (EMO)&lt;/i&gt;. Lecture Notes in Computer Science. Springer International Publishing; 2019:516–528. doi:&lt;a href=&quot;https://doi.org/10.1007/978-3-030-12598-1_41&quot;&gt;10.1007/978-3-030-12598-1_41&lt;/a&gt;</ama>
<bibtex>@inproceedings{Bossek_Grimme_Meisel_Rudolph_Trautmann_2019, place={Cham}, series={Lecture Notes in Computer Science}, title={Bi-Objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm}, DOI={&lt;a href=&quot;https://doi.org/10.1007/978-3-030-12598-1_41&quot;&gt;10.1007/978-3-030-12598-1_41&lt;/a&gt;}, booktitle={Evolutionary Multi-Criterion Optimization (EMO)}, publisher={Springer International Publishing}, author={Bossek, Jakob and Grimme, Christian and Meisel, Stephan and Rudolph, Günter and Trautmann, Heike}, editor={Deb, Kalyanmoy and Goodman, Erik and Coello Coello, Carlos A. and Klamroth, Kathrin and Miettinen, Kaisa and Mostaghim, Sanaz and Reed, Patrick}, year={2019}, pages={516–528}, collection={Lecture Notes in Computer Science} }</bibtex>
<mla>Bossek, Jakob, et al. “Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm.” &lt;i&gt;Evolutionary Multi-Criterion Optimization (EMO)&lt;/i&gt;, edited by Kalyanmoy Deb et al., Springer International Publishing, 2019, pp. 516–528, doi:&lt;a href=&quot;https://doi.org/10.1007/978-3-030-12598-1_41&quot;&gt;10.1007/978-3-030-12598-1_41&lt;/a&gt;.</mla>
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