Matches in SemOpenAlex for { <https://semopenalex.org/work/W2904101610> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W2904101610 endingPage "1850022" @default.
- W2904101610 startingPage "1850022" @default.
- W2904101610 abstract "In this paper, we propose a new hybrid population-based meta-heuristics algorithm inspired by grey wolves in order to solve integer programming and minimax problems. The proposed algorithm is called Multidirectional Grey Wolf Optimizer (MDGWO) algorithm. In the proposed algorithm, we try to accelerate the standard grey wolf optimizer algorithm (GWO) by invoking the multidirectional search method with it in order to accelerate the search instead of letting the standard GWO run for more iterations without significant improvement in the results. MDGWO starts the search by applying the standard GWO search for a number of iterations, and then the best-obtained solution is passed to the multidirectional search method as an intensification process in order to accelerate the search and overcome the slow convergence of the standard GWO algorithm. We test MDGWO algorithm on seven integer programming problems and 10 minimax problems. Moreover, we compare against 11 algorithms for solving integer programming problems and 10 algorithms for solving minimax problems. Furthermore, we show the efficiency of the proposed algorithm and its ability to solve integer and minimax optimization problems in reasonable time by giving several results of the experiments." @default.
- W2904101610 created "2018-12-22" @default.
- W2904101610 creator A5000081746 @default.
- W2904101610 creator A5041766787 @default.
- W2904101610 date "2018-12-01" @default.
- W2904101610 modified "2023-09-24" @default.
- W2904101610 title "Multidirectional Grey Wolf Optimizer Algorithm for Solving Global Optimization Problems" @default.
- W2904101610 cites W1494875490 @default.
- W2904101610 cites W1577517492 @default.
- W2904101610 cites W1584834954 @default.
- W2904101610 cites W1970677796 @default.
- W2904101610 cites W1978232925 @default.
- W2904101610 cites W1995643906 @default.
- W2904101610 cites W2039542900 @default.
- W2904101610 cites W2044944097 @default.
- W2904101610 cites W2059883199 @default.
- W2904101610 cites W2060621627 @default.
- W2904101610 cites W2061438946 @default.
- W2904101610 cites W2067435011 @default.
- W2904101610 cites W2071614767 @default.
- W2904101610 cites W2072955302 @default.
- W2904101610 cites W2122122715 @default.
- W2904101610 cites W2143560894 @default.
- W2904101610 cites W2154943049 @default.
- W2904101610 cites W2157470389 @default.
- W2904101610 cites W2219010958 @default.
- W2904101610 cites W2290883490 @default.
- W2904101610 cites W2324652484 @default.
- W2904101610 cites W2463897770 @default.
- W2904101610 cites W2514515163 @default.
- W2904101610 cites W2610837804 @default.
- W2904101610 cites W2618467698 @default.
- W2904101610 cites W2802571054 @default.
- W2904101610 cites W2802761309 @default.
- W2904101610 cites W2883675621 @default.
- W2904101610 cites W579842789 @default.
- W2904101610 doi "https://doi.org/10.1142/s1469026818500220" @default.
- W2904101610 hasPublicationYear "2018" @default.
- W2904101610 type Work @default.
- W2904101610 sameAs 2904101610 @default.
- W2904101610 citedByCount "3" @default.
- W2904101610 countsByYear W29041016102019 @default.
- W2904101610 countsByYear W29041016102021 @default.
- W2904101610 crossrefType "journal-article" @default.
- W2904101610 hasAuthorship W2904101610A5000081746 @default.
- W2904101610 hasAuthorship W2904101610A5041766787 @default.
- W2904101610 hasConcept C11413529 @default.
- W2904101610 hasConcept C125583679 @default.
- W2904101610 hasConcept C126255220 @default.
- W2904101610 hasConcept C127705205 @default.
- W2904101610 hasConcept C135320971 @default.
- W2904101610 hasConcept C149728462 @default.
- W2904101610 hasConcept C162324750 @default.
- W2904101610 hasConcept C199360897 @default.
- W2904101610 hasConcept C2777303404 @default.
- W2904101610 hasConcept C33923547 @default.
- W2904101610 hasConcept C41008148 @default.
- W2904101610 hasConcept C50522688 @default.
- W2904101610 hasConcept C56086750 @default.
- W2904101610 hasConcept C97137487 @default.
- W2904101610 hasConceptScore W2904101610C11413529 @default.
- W2904101610 hasConceptScore W2904101610C125583679 @default.
- W2904101610 hasConceptScore W2904101610C126255220 @default.
- W2904101610 hasConceptScore W2904101610C127705205 @default.
- W2904101610 hasConceptScore W2904101610C135320971 @default.
- W2904101610 hasConceptScore W2904101610C149728462 @default.
- W2904101610 hasConceptScore W2904101610C162324750 @default.
- W2904101610 hasConceptScore W2904101610C199360897 @default.
- W2904101610 hasConceptScore W2904101610C2777303404 @default.
- W2904101610 hasConceptScore W2904101610C33923547 @default.
- W2904101610 hasConceptScore W2904101610C41008148 @default.
- W2904101610 hasConceptScore W2904101610C50522688 @default.
- W2904101610 hasConceptScore W2904101610C56086750 @default.
- W2904101610 hasConceptScore W2904101610C97137487 @default.
- W2904101610 hasIssue "04" @default.
- W2904101610 hasLocation W29041016101 @default.
- W2904101610 hasOpenAccess W2904101610 @default.
- W2904101610 hasPrimaryLocation W29041016101 @default.
- W2904101610 hasRelatedWork W1515140396 @default.
- W2904101610 hasRelatedWork W2000969332 @default.
- W2904101610 hasRelatedWork W2128379396 @default.
- W2904101610 hasRelatedWork W2135298308 @default.
- W2904101610 hasRelatedWork W2580810437 @default.
- W2904101610 hasRelatedWork W2744708081 @default.
- W2904101610 hasRelatedWork W2901492863 @default.
- W2904101610 hasRelatedWork W2952772801 @default.
- W2904101610 hasRelatedWork W3091996380 @default.
- W2904101610 hasRelatedWork W4301908448 @default.
- W2904101610 hasVolume "17" @default.
- W2904101610 isParatext "false" @default.
- W2904101610 isRetracted "false" @default.
- W2904101610 magId "2904101610" @default.
- W2904101610 workType "article" @default.