Matches in SemOpenAlex for { <https://semopenalex.org/work/W3003853537> ?p ?o ?g. }
- W3003853537 endingPage "103517" @default.
- W3003853537 startingPage "103517" @default.
- W3003853537 abstract "In this paper, we propose rescue ensemble to simulate the dynamic rescue process between forest fire spread and forest fire rescue, while simultaneously formulating this process as a dynamic optimization problem. However, there is still little research about simulating this kind of the dynamic rescue process, even when many new unmanned monitoring systems and large-scale firefighting aircraft emerge in the forest-fire-rescue field. Our rescue ensemble that consists of rescue simulator and rescue algorithm is characterized by supporting the offline simulation of the dynamic rescue process between forest fire spread (like offensive forces) and forest fire rescue (like defensive forces). Based on modifying the cellular automaton model of forest fire spread, rescue simulator is able to simulate forest fire spread and aircraft firefighting, simultaneously. Besides, the main goal of rescue algorithm is to realize the aircraft task allocation. Firefighting particle swarm optimization is proposed by us as our rescue algorithm, which is characterized by considering fire edge suppression, the burning-cell continuity, and wind direction. We construct our test problems based on real forest maps and aircraft firefighting capability. Comparing with four compared rescue algorithms, we test the different capabilities of firefighting particle swarm optimization, such as searching dynamic optimal solution, shortening the rescue time, controlling the spread speed of fire edge, and minimizing the burned cost. Experimental results demonstrate that the framework of rescue ensemble is feasible. Meanwhile, the results of firefighting particle swarm optimization are satisfactory in most cases." @default.
- W3003853537 created "2020-02-07" @default.
- W3003853537 creator A5009105404 @default.
- W3003853537 creator A5020422392 @default.
- W3003853537 creator A5021619914 @default.
- W3003853537 creator A5030792650 @default.
- W3003853537 creator A5064016298 @default.
- W3003853537 date "2020-04-01" @default.
- W3003853537 modified "2023-10-18" @default.
- W3003853537 title "Ensemble framework by using nature inspired algorithms for the early-stage forest fire rescue — A case study of dynamic optimization problems" @default.
- W3003853537 cites W1130573204 @default.
- W3003853537 cites W1852719163 @default.
- W3003853537 cites W1894798256 @default.
- W3003853537 cites W1975436849 @default.
- W3003853537 cites W1977004800 @default.
- W3003853537 cites W1978262025 @default.
- W3003853537 cites W1996939881 @default.
- W3003853537 cites W2000371771 @default.
- W3003853537 cites W2017941507 @default.
- W3003853537 cites W2038043916 @default.
- W3003853537 cites W2067635458 @default.
- W3003853537 cites W2070809107 @default.
- W3003853537 cites W2076836659 @default.
- W3003853537 cites W2077498792 @default.
- W3003853537 cites W2080046201 @default.
- W3003853537 cites W2084828948 @default.
- W3003853537 cites W2089542102 @default.
- W3003853537 cites W2090170663 @default.
- W3003853537 cites W2096387560 @default.
- W3003853537 cites W2104861799 @default.
- W3003853537 cites W2126050191 @default.
- W3003853537 cites W2143503407 @default.
- W3003853537 cites W2169367028 @default.
- W3003853537 cites W2172270145 @default.
- W3003853537 cites W2214578418 @default.
- W3003853537 cites W2342596926 @default.
- W3003853537 cites W2509595558 @default.
- W3003853537 cites W2513315106 @default.
- W3003853537 cites W2580691580 @default.
- W3003853537 cites W2602420801 @default.
- W3003853537 cites W2604778991 @default.
- W3003853537 cites W2606074091 @default.
- W3003853537 cites W2613696059 @default.
- W3003853537 cites W2740070378 @default.
- W3003853537 cites W2749952670 @default.
- W3003853537 cites W2884716159 @default.
- W3003853537 cites W2899803377 @default.
- W3003853537 cites W2911614091 @default.
- W3003853537 cites W3104803445 @default.
- W3003853537 doi "https://doi.org/10.1016/j.engappai.2020.103517" @default.
- W3003853537 hasPublicationYear "2020" @default.
- W3003853537 type Work @default.
- W3003853537 sameAs 3003853537 @default.
- W3003853537 citedByCount "16" @default.
- W3003853537 countsByYear W30038535372020 @default.
- W3003853537 countsByYear W30038535372021 @default.
- W3003853537 countsByYear W30038535372022 @default.
- W3003853537 countsByYear W30038535372023 @default.
- W3003853537 crossrefType "journal-article" @default.
- W3003853537 hasAuthorship W3003853537A5009105404 @default.
- W3003853537 hasAuthorship W3003853537A5020422392 @default.
- W3003853537 hasAuthorship W3003853537A5021619914 @default.
- W3003853537 hasAuthorship W3003853537A5030792650 @default.
- W3003853537 hasAuthorship W3003853537A5064016298 @default.
- W3003853537 hasConcept C111919701 @default.
- W3003853537 hasConcept C11413529 @default.
- W3003853537 hasConcept C154945302 @default.
- W3003853537 hasConcept C17006198 @default.
- W3003853537 hasConcept C178790620 @default.
- W3003853537 hasConcept C185592680 @default.
- W3003853537 hasConcept C19966478 @default.
- W3003853537 hasConcept C41008148 @default.
- W3003853537 hasConcept C44154836 @default.
- W3003853537 hasConcept C557531904 @default.
- W3003853537 hasConcept C79403827 @default.
- W3003853537 hasConcept C85617194 @default.
- W3003853537 hasConcept C90509273 @default.
- W3003853537 hasConcept C98045186 @default.
- W3003853537 hasConceptScore W3003853537C111919701 @default.
- W3003853537 hasConceptScore W3003853537C11413529 @default.
- W3003853537 hasConceptScore W3003853537C154945302 @default.
- W3003853537 hasConceptScore W3003853537C17006198 @default.
- W3003853537 hasConceptScore W3003853537C178790620 @default.
- W3003853537 hasConceptScore W3003853537C185592680 @default.
- W3003853537 hasConceptScore W3003853537C19966478 @default.
- W3003853537 hasConceptScore W3003853537C41008148 @default.
- W3003853537 hasConceptScore W3003853537C44154836 @default.
- W3003853537 hasConceptScore W3003853537C557531904 @default.
- W3003853537 hasConceptScore W3003853537C79403827 @default.
- W3003853537 hasConceptScore W3003853537C85617194 @default.
- W3003853537 hasConceptScore W3003853537C90509273 @default.
- W3003853537 hasConceptScore W3003853537C98045186 @default.
- W3003853537 hasFunder F4320321001 @default.
- W3003853537 hasLocation W30038535371 @default.
- W3003853537 hasOpenAccess W3003853537 @default.
- W3003853537 hasPrimaryLocation W30038535371 @default.
- W3003853537 hasRelatedWork W1519398290 @default.
- W3003853537 hasRelatedWork W2053377529 @default.