Optimising engineering problems using genetic algorithms
This paper deals with the optimisation of engineering problems using genetic algorithms. The process is discussed and the various stages of the genetic algorithm described. In conjunction with a finite element analysis program the process is then applied to a realistic problem of extraction of a pol...
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| Veröffentlicht in: | Engineering computations 1998-01, Vol.15 (2), p.268-280 |
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| container_title | Engineering computations |
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| creator | Yeo, M.F. Agyei, E.O. |
| description | This paper deals with the optimisation of engineering problems using genetic algorithms. The process is discussed and the various stages of the genetic algorithm described. In conjunction with a finite element analysis program the process is then applied to a realistic problem of extraction of a pollutant from an aquifer. The genetic algorithm suggests sensible solutions for optimum extraction well positions and pumping rates to minimise the overall cost, based upon the results of a series of finite element analyses. The discontinuous nature of the problem is handled easily. The conclusions drawn are that a genetic algorithm optimiser, in conjunction with a finite element analysis program, generates solutions to engineering problems that are sensible and efficient. |
| doi_str_mv | 10.1108/02644409810202684 |
| format | Article |
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The conclusions drawn are that a genetic algorithm optimiser, in conjunction with a finite element analysis program, generates solutions to engineering problems that are sensible and efficient.</description><subject>Algorithms</subject><subject>Aquifers</subject><subject>CAE</subject><subject>Computer aided engineering</subject><subject>Costs</subject><subject>Design engineering</subject><subject>Engineering</subject><subject>Environmental engineering</subject><subject>Finite element analysis</subject><subject>Genetic algorithms</subject><subject>Linear programming</subject><subject>Optimization</subject><subject>Parents & parenting</subject><subject>Pollutants</subject><subject>Pollution</subject><subject>Studies</subject><issn>0264-4401</issn><issn>1758-7077</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNqNkU1LxDAQhoMouK7-AG-LB71YzVeT9CiL7irCoih7DGma1qz9MmlB_71ZKx5cUU8zMM87884MAIcIniEExTnEjFIKE4EgDrmgW2CEeCwiDjnfBqN1PQoA2gV73q8ghJwQOAJi0Xa2st7WxcTUha2Nceu8dU1amspP-o9SYWrTWT1RZdE42z1Vfh_s5Kr05uAzjsHj1eXDdB7dLmbX04vbSFMBuyjPMc84EiYRlMcqU4RRlYpECcN0hgQmSEOaCpVixBgXCCccE0biTCOiqSZjcDL0DY5eeuM7GdxqU5aqNk3vJaeEk7AyD-TxryQWcSxC6z9BFE4ZjOEAHn0DV03v6rCuxIjGhCaJCBAaIO0a753JZetspdybRFCufyM3fhM00aCxvjOvXwLlniXjhMeSLrFcsul8dnPP5F3g4cCbyjhVZv8acfqzZAOVbZaTdwKpqZc</recordid><startdate>19980101</startdate><enddate>19980101</enddate><creator>Yeo, M.F.</creator><creator>Agyei, E.O.</creator><general>MCB UP Ltd</general><general>Emerald Group Publishing Limited</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>7SC</scope><scope>7TB</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K6~</scope><scope>K7-</scope><scope>KR7</scope><scope>L.-</scope><scope>L.0</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>M2P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>7TV</scope><scope>7UA</scope><scope>C1K</scope></search><sort><creationdate>19980101</creationdate><title>Optimising engineering problems using genetic algorithms</title><author>Yeo, M.F. ; 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| fulltext | fulltext |
| identifier | ISSN: 0264-4401 |
| ispartof | Engineering computations, 1998-01, Vol.15 (2), p.268-280 |
| issn | 0264-4401 1758-7077 |
| language | eng |
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| source | Emerald Journals |
| subjects | Algorithms Aquifers CAE Computer aided engineering Costs Design engineering Engineering Environmental engineering Finite element analysis Genetic algorithms Linear programming Optimization Parents & parenting Pollutants Pollution Studies |
| title | Optimising engineering problems using genetic algorithms |
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