{"id":{"repo_id":"cork","oai_identifier":"oai:cora.ucc.ie:10468/8361"},"canonical_url":"https://search.dev.ndltd.org/etd/cork/oai:cora.ucc.ie:10468/8361","repository":{"repo_id":"cork","name":"University College Cork","base_url":"https://cora.ucc.ie/server/oai/request"},"display":{"title":"An approach to robustness in stable marriage and stable roommates problems","abstract":"This dissertation focuses on a novel concept of robustness within the context of matching problems. Our robustness notion for the stable matching framework is motivated by the unforeseen events that may occur after a matching is computed. We define the notion of (a,b)-supermatches as a measure of robustness of a matching. An (a,b)-supermatch characterizes a stable matching such that if any combination of &apos;a&apos; pairs want to leave the matching, there exists an alternative matching in which those &apos;a&apos; pairs are assigned new partners, and in order to obtain the new assignment at most &apos;b&apos; other pairs are broken. We first formally define the notion of (a,b)-supermatches by using one of the most famous matching problems, namely the Stable Marriage problem (SM), as the platform. We name the problem of finding an (a,b)-supermatch to the SM as the Robust Stable Marriage problem (RSM). Subsequently, we prove that RSM is NP-hard, and the decision problem for the case where a=1 (i.e. deciding if there exists a (1,b)-supermatch) is NP-complete. We also develop a constraint programming model and a number of meta-heuristic approaches to find a (1,b)-supermatch that minimizes the value of &apos;b&apos; for the RSM. Following the results on the RSM, we extend the notion of (a,b)-supermatches to the Stable Roommates problem (SR), namely, the Robust Stable Roommates problem (RSR). We show that the NP-hardness is also valid for the RSR, and we also define a polynomial-time procedure for the RSR to decide if a given stable matching is a (1,b)-supermatch. Similarly, we provide a number of meta-heuristic models to solve the optimization problem for finding a (1,b)-supermatch that minimizes the value of &apos;b&apos;. We conclude this dissertation by providing some empirical results on the robustness of different datasets of RSM and RSR instances.","abstract_html":"This dissertation focuses on a novel concept of robustness within the context of matching problems. Our robustness notion for the stable matching framework is motivated by the unforeseen events that may occur after a matching is computed. We define the notion of (a,b)-supermatches as a measure of robustness of a matching. An (a,b)-supermatch characterizes a stable matching such that if any combination of &amp;apos;a&amp;apos; pairs want to leave the matching, there exists an alternative matching in which those &amp;apos;a&amp;apos; pairs are assigned new partners, and in order to obtain the new assignment at most &amp;apos;b&amp;apos; other pairs are broken. We first formally define the notion of (a,b)-supermatches by using one of the most famous matching problems, namely the Stable Marriage problem (SM), as the platform. We name the problem of finding an (a,b)-supermatch to the SM as the Robust Stable Marriage problem (RSM). Subsequently, we prove that RSM is NP-hard, and the decision problem for the case where a=1 (i.e. deciding if there exists a (1,b)-supermatch) is NP-complete. We also develop a constraint programming model and a number of meta-heuristic approaches to find a (1,b)-supermatch that minimizes the value of &amp;apos;b&amp;apos; for the RSM. Following the results on the RSM, we extend the notion of (a,b)-supermatches to the Stable Roommates problem (SR), namely, the Robust Stable Roommates problem (RSR). We show that the NP-hardness is also valid for the RSR, and we also define a polynomial-time procedure for the RSR to decide if a given stable matching is a (1,b)-supermatch. Similarly, we provide a number of meta-heuristic models to solve the optimization problem for finding a (1,b)-supermatch that minimizes the value of &amp;apos;b&amp;apos;. We conclude this dissertation by providing some empirical results on the robustness of different datasets of RSM and RSR instances.","abstract_has_math":false,"creators":["Genc, Begum"],"institution":"University College Cork","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["O&apos;Sullivan, Barry","Siala, Mohamed"],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019","date_published":"2019","updated_at":"2026-07-24T01:46:55Z","subjects":["Robustness","(a,b)-supermatch","Optimization","Stable marriage","Stable roommates"],"languages":["en"],"rights":["© 2019, Begum Genc."],"rights_urls":["http://creativecommons.org/licenses/by-nc-nd/3.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10468/8361","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["O&apos;Sullivan, Barry","Siala, Mohamed"]},{"key":"dc:creator","label":"Author","values":["Genc, Begum"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2019-08-21T08:58:56Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2019-08-21T08:58:56Z"]},{"key":"dc:date.issued","label":"Date","values":["2019"]},{"key":"dc:publisher","label":"Institution","values":["University College Cork"]},{"key":"dc:type","label":"Dc Type","values":["Doctoral thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["Doctoral"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["PhD"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Robustness","(a,b)-supermatch","Optimization","Stable marriage","Stable roommates"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["© 2019, Begum Genc."]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://creativecommons.org/licenses/by-nc-nd/3.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10468/8361"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This dissertation focuses on a novel concept of robustness within the context of matching problems. Our robustness notion for the stable matching framework is motivated by the unforeseen events that may occur after a matching is computed. We define the notion of (a,b)-supermatches as a measure of robustness of a matching. An (a,b)-supermatch characterizes a stable matching such that if any combination of &apos;a&apos; pairs want to leave the matching, there exists an alternative matching in which those &apos;a&apos; pairs are assigned new partners, and in order to obtain the new assignment at most &apos;b&apos; other pairs are broken. We first formally define the notion of (a,b)-supermatches by using one of the most famous matching problems, namely the Stable Marriage problem (SM), as the platform. We name the problem of finding an (a,b)-supermatch to the SM as the Robust Stable Marriage problem (RSM). Subsequently, we prove that RSM is NP-hard, and the decision problem for the case where a=1 (i.e. deciding if there exists a (1,b)-supermatch) is NP-complete. We also develop a constraint programming model and a number of meta-heuristic approaches to find a (1,b)-supermatch that minimizes the value of &apos;b&apos; for the RSM. Following the results on the RSM, we extend the notion of (a,b)-supermatches to the Stable Roommates problem (SR), namely, the Robust Stable Roommates problem (RSR). We show that the NP-hardness is also valid for the RSR, and we also define a polynomial-time procedure for the RSR to decide if a given stable matching is a (1,b)-supermatch. Similarly, we provide a number of meta-heuristic models to solve the optimization problem for finding a (1,b)-supermatch that minimizes the value of &apos;b&apos;. We conclude this dissertation by providing some empirical results on the robustness of different datasets of RSM and RSR instances."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["An approach to robustness in stable marriage and stable roommates problems"]}]}],"canonical_facts":{"dc:contributor.advisor":["O&apos;Sullivan, Barry","Siala, Mohamed"],"dc:creator":["Genc, Begum"],"dc:date.accessioned":["2019-08-21T08:58:56Z"],"dc:date.available":["2019-08-21T08:58:56Z"],"dc:date.issued":["2019"],"dc:description.abstract":["This dissertation focuses on a novel concept of robustness within the context of matching problems. Our robustness notion for the stable matching framework is motivated by the unforeseen events that may occur after a matching is computed. We define the notion of (a,b)-supermatches as a measure of robustness of a matching. An (a,b)-supermatch characterizes a stable matching such that if any combination of &apos;a&apos; pairs want to leave the matching, there exists an alternative matching in which those &apos;a&apos; pairs are assigned new partners, and in order to obtain the new assignment at most &apos;b&apos; other pairs are broken. We first formally define the notion of (a,b)-supermatches by using one of the most famous matching problems, namely the Stable Marriage problem (SM), as the platform. We name the problem of finding an (a,b)-supermatch to the SM as the Robust Stable Marriage problem (RSM). Subsequently, we prove that RSM is NP-hard, and the decision problem for the case where a=1 (i.e. deciding if there exists a (1,b)-supermatch) is NP-complete. We also develop a constraint programming model and a number of meta-heuristic approaches to find a (1,b)-supermatch that minimizes the value of &apos;b&apos; for the RSM. Following the results on the RSM, we extend the notion of (a,b)-supermatches to the Stable Roommates problem (SR), namely, the Robust Stable Roommates problem (RSR). We show that the NP-hardness is also valid for the RSR, and we also define a polynomial-time procedure for the RSR to decide if a given stable matching is a (1,b)-supermatch. Similarly, we provide a number of meta-heuristic models to solve the optimization problem for finding a (1,b)-supermatch that minimizes the value of &apos;b&apos;. We conclude this dissertation by providing some empirical results on the robustness of different datasets of RSM and RSR instances."],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["https://hdl.handle.net/10468/8361"],"dc:language.iso":["en"],"dc:publisher":["University College Cork"],"dc:rights":["© 2019, Begum Genc."],"dc:rights.uri":["http://creativecommons.org/licenses/by-nc-nd/3.0/"],"dc:subject":["Robustness","(a,b)-supermatch","Optimization","Stable marriage","Stable roommates"],"dc:title":["An approach to robustness in stable marriage and stable roommates problems"],"dc:type":["Doctoral thesis"],"dc:type.qualificationlevel":["Doctoral"],"dc:type.qualificationname":["PhD"]},"updated_at":"2026-07-24T01:46:55Z"}