Matches in SemOpenAlex for { <https://semopenalex.org/work/W4242933743> ?p ?o ?g. }
- W4242933743 endingPage "229" @default.
- W4242933743 startingPage "185" @default.
- W4242933743 abstract "The primary objective in designing appropriate particle reinforced polyurethane composite which will be used as a mould material in soft tooling process is to minimize the cycle time of soft tooling process by providing faster cooling rate during solidification of wax/plastic component. This chapter exemplifies an effective approach to design particle reinforced mould materials by solving the inherent multi-objective optimization problem associated with soft tooling process using evolutionary algorithms. In this chapter, first a brief introduction of multi-objective optimization problem with the key issues is presented. Then, after a short overview on the working procedure of genetic algorithm, a well- established multi-objective evolutionary algorithm, namely NSGA-II along with various performance metrics are described. The inherent multi-objective problem in soft tooling process is demonstrated and subsequently solved using an elitist non-dominated sorting genetic algorithm, NSGA-II. Multi-objective optimization results obtained using NSGA-II are analyzed statistically and validated with real industrial application. Finally the fundamental results of this approach are summarized and various perspectives to the industries along with scopes for future research work are pointed out." @default.
- W4242933743 created "2022-05-12" @default.
- W4242933743 creator A5015178323 @default.
- W4242933743 creator A5088394271 @default.
- W4242933743 date "2017-01-01" @default.
- W4242933743 modified "2023-09-25" @default.
- W4242933743 title "Multi-Objective Evolutionary Algorithms" @default.
- W4242933743 cites W1487567463 @default.
- W4242933743 cites W1495073969 @default.
- W4242933743 cites W1506010655 @default.
- W4242933743 cites W1532399581 @default.
- W4242933743 cites W1675295526 @default.
- W4242933743 cites W1792149802 @default.
- W4242933743 cites W1820211670 @default.
- W4242933743 cites W1898293761 @default.
- W4242933743 cites W1905847227 @default.
- W4242933743 cites W1964542241 @default.
- W4242933743 cites W1968437144 @default.
- W4242933743 cites W1971668954 @default.
- W4242933743 cites W1972460337 @default.
- W4242933743 cites W1977585801 @default.
- W4242933743 cites W1984685212 @default.
- W4242933743 cites W1990839112 @default.
- W4242933743 cites W1997601272 @default.
- W4242933743 cites W2010709876 @default.
- W4242933743 cites W2012041274 @default.
- W4242933743 cites W2012908661 @default.
- W4242933743 cites W2021833527 @default.
- W4242933743 cites W2025833130 @default.
- W4242933743 cites W2033605039 @default.
- W4242933743 cites W2034656358 @default.
- W4242933743 cites W2035275719 @default.
- W4242933743 cites W2039969148 @default.
- W4242933743 cites W2043783835 @default.
- W4242933743 cites W2044643138 @default.
- W4242933743 cites W2047198378 @default.
- W4242933743 cites W2053820849 @default.
- W4242933743 cites W2057178439 @default.
- W4242933743 cites W2060713825 @default.
- W4242933743 cites W2060901581 @default.
- W4242933743 cites W2066501783 @default.
- W4242933743 cites W2067360855 @default.
- W4242933743 cites W2074176021 @default.
- W4242933743 cites W2077311281 @default.
- W4242933743 cites W2093964378 @default.
- W4242933743 cites W2108717996 @default.
- W4242933743 cites W2110943260 @default.
- W4242933743 cites W2116661285 @default.
- W4242933743 cites W2121365620 @default.
- W4242933743 cites W2125502051 @default.
- W4242933743 cites W2126105956 @default.
- W4242933743 cites W2128428676 @default.
- W4242933743 cites W2135864487 @default.
- W4242933743 cites W2137142533 @default.
- W4242933743 cites W2139174011 @default.
- W4242933743 cites W2140854868 @default.
- W4242933743 cites W2147968712 @default.
- W4242933743 cites W2152127951 @default.
- W4242933743 cites W2155019998 @default.
- W4242933743 cites W2171996959 @default.
- W4242933743 cites W2495684637 @default.
- W4242933743 cites W2501872583 @default.
- W4242933743 cites W4233757421 @default.
- W4242933743 doi "https://doi.org/10.4018/978-1-5225-1798-6.ch008" @default.
- W4242933743 hasPublicationYear "2017" @default.
- W4242933743 type Work @default.
- W4242933743 citedByCount "0" @default.
- W4242933743 crossrefType "book-chapter" @default.
- W4242933743 hasAuthorship W4242933743A5015178323 @default.
- W4242933743 hasAuthorship W4242933743A5088394271 @default.
- W4242933743 hasConcept C111696304 @default.
- W4242933743 hasConcept C111919701 @default.
- W4242933743 hasConcept C11413529 @default.
- W4242933743 hasConcept C121332964 @default.
- W4242933743 hasConcept C126255220 @default.
- W4242933743 hasConcept C159149176 @default.
- W4242933743 hasConcept C168167062 @default.
- W4242933743 hasConcept C33923547 @default.
- W4242933743 hasConcept C41008148 @default.
- W4242933743 hasConcept C68781425 @default.
- W4242933743 hasConcept C8880873 @default.
- W4242933743 hasConcept C97355855 @default.
- W4242933743 hasConcept C98045186 @default.
- W4242933743 hasConceptScore W4242933743C111696304 @default.
- W4242933743 hasConceptScore W4242933743C111919701 @default.
- W4242933743 hasConceptScore W4242933743C11413529 @default.
- W4242933743 hasConceptScore W4242933743C121332964 @default.
- W4242933743 hasConceptScore W4242933743C126255220 @default.
- W4242933743 hasConceptScore W4242933743C159149176 @default.
- W4242933743 hasConceptScore W4242933743C168167062 @default.
- W4242933743 hasConceptScore W4242933743C33923547 @default.
- W4242933743 hasConceptScore W4242933743C41008148 @default.
- W4242933743 hasConceptScore W4242933743C68781425 @default.
- W4242933743 hasConceptScore W4242933743C8880873 @default.
- W4242933743 hasConceptScore W4242933743C97355855 @default.
- W4242933743 hasConceptScore W4242933743C98045186 @default.
- W4242933743 hasLocation W42429337431 @default.
- W4242933743 hasOpenAccess W4242933743 @default.