Matches in SemOpenAlex for { <https://semopenalex.org/work/W237105564> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W237105564 endingPage "232" @default.
- W237105564 startingPage "228" @default.
- W237105564 abstract "Agent-based models (ABMs) / multi-agent systems (MASs) are today one of the most widely used modeling– simulation–analysis approaches for understanding the dynamical behavior of complex systems. These models are often characterized by several parameters with nonlinear interactions which together determine the global system dynamics, usually measured by different conflicting criteria. The problem that emerges is that of tuning the controllable system parameters at the local level, in order to reach some desirable global behavior. In this research paper, we cast the tuning of an ABM for emergency response planning as a multi-objective optimization problem (MOOP). We then propose the use of multi-objective evolutionary algorithms (MOEAs) for exploration and optimization of the resultant search space. We employ two well-known MOEAs, the Nondominated Sorting Genetic Algorithm II (NSGA-II) and the Pareto Archived Evolution Strategy (PAES), and test their performance for different pairs of objectives for plan evaluation. In the experimental results, the approximate Pareto front of the non-dominated solutions is effectively obtained. Further, a conflict between the proposed objectives is patent. Additional robustness analysis is performed to help policymakers select a plan according to higher-level information or criteria not present in the original problem description." @default.
- W237105564 created "2016-06-24" @default.
- W237105564 creator A5016682211 @default.
- W237105564 creator A5053379558 @default.
- W237105564 creator A5081842800 @default.
- W237105564 date "2006-01-01" @default.
- W237105564 modified "2023-09-23" @default.
- W237105564 title "Multi-objective evolutionary optimization of agent-based models: An application to emergency response planning" @default.
- W237105564 cites W114475243 @default.
- W237105564 cites W1595498733 @default.
- W237105564 cites W1972894197 @default.
- W237105564 cites W2028815266 @default.
- W237105564 cites W2053900989 @default.
- W237105564 cites W2077563974 @default.
- W237105564 cites W2126105956 @default.
- W237105564 cites W2126729622 @default.
- W237105564 cites W2130166265 @default.
- W237105564 cites W2155878381 @default.
- W237105564 cites W2281856485 @default.
- W237105564 cites W3214994723 @default.
- W237105564 cites W9730082 @default.
- W237105564 hasPublicationYear "2006" @default.
- W237105564 type Work @default.
- W237105564 sameAs 237105564 @default.
- W237105564 citedByCount "16" @default.
- W237105564 countsByYear W2371055642012 @default.
- W237105564 countsByYear W2371055642013 @default.
- W237105564 countsByYear W2371055642014 @default.
- W237105564 countsByYear W2371055642017 @default.
- W237105564 countsByYear W2371055642018 @default.
- W237105564 countsByYear W2371055642019 @default.
- W237105564 countsByYear W2371055642020 @default.
- W237105564 countsByYear W2371055642021 @default.
- W237105564 crossrefType "proceedings-article" @default.
- W237105564 hasAuthorship W237105564A5016682211 @default.
- W237105564 hasAuthorship W237105564A5053379558 @default.
- W237105564 hasAuthorship W237105564A5081842800 @default.
- W237105564 hasConcept C104317684 @default.
- W237105564 hasConcept C111696304 @default.
- W237105564 hasConcept C11413529 @default.
- W237105564 hasConcept C126255220 @default.
- W237105564 hasConcept C137635306 @default.
- W237105564 hasConcept C137836250 @default.
- W237105564 hasConcept C159149176 @default.
- W237105564 hasConcept C185592680 @default.
- W237105564 hasConcept C33923547 @default.
- W237105564 hasConcept C41008148 @default.
- W237105564 hasConcept C55493867 @default.
- W237105564 hasConcept C63479239 @default.
- W237105564 hasConcept C68781425 @default.
- W237105564 hasConcept C8880873 @default.
- W237105564 hasConceptScore W237105564C104317684 @default.
- W237105564 hasConceptScore W237105564C111696304 @default.
- W237105564 hasConceptScore W237105564C11413529 @default.
- W237105564 hasConceptScore W237105564C126255220 @default.
- W237105564 hasConceptScore W237105564C137635306 @default.
- W237105564 hasConceptScore W237105564C137836250 @default.
- W237105564 hasConceptScore W237105564C159149176 @default.
- W237105564 hasConceptScore W237105564C185592680 @default.
- W237105564 hasConceptScore W237105564C33923547 @default.
- W237105564 hasConceptScore W237105564C41008148 @default.
- W237105564 hasConceptScore W237105564C55493867 @default.
- W237105564 hasConceptScore W237105564C63479239 @default.
- W237105564 hasConceptScore W237105564C68781425 @default.
- W237105564 hasConceptScore W237105564C8880873 @default.
- W237105564 hasLocation W2371055641 @default.
- W237105564 hasOpenAccess W237105564 @default.
- W237105564 hasPrimaryLocation W2371055641 @default.
- W237105564 hasRelatedWork W13012010 @default.
- W237105564 hasRelatedWork W1586371010 @default.
- W237105564 hasRelatedWork W159331010 @default.
- W237105564 hasRelatedWork W2024060531 @default.
- W237105564 hasRelatedWork W2058836699 @default.
- W237105564 hasRelatedWork W2124344619 @default.
- W237105564 hasRelatedWork W2126105956 @default.
- W237105564 hasRelatedWork W2150704630 @default.
- W237105564 hasRelatedWork W2268366368 @default.
- W237105564 hasRelatedWork W2281856485 @default.
- W237105564 hasRelatedWork W2343469528 @default.
- W237105564 hasRelatedWork W2498142317 @default.
- W237105564 hasRelatedWork W2910987121 @default.
- W237105564 hasRelatedWork W3040982696 @default.
- W237105564 hasRelatedWork W3087394220 @default.
- W237105564 hasRelatedWork W3141037374 @default.
- W237105564 hasRelatedWork W3179081346 @default.
- W237105564 hasRelatedWork W3207891746 @default.
- W237105564 hasRelatedWork W3210062862 @default.
- W237105564 hasRelatedWork W3214994723 @default.
- W237105564 isParatext "false" @default.
- W237105564 isRetracted "false" @default.
- W237105564 magId "237105564" @default.
- W237105564 workType "article" @default.