Optimal control of cancer chemotherapy model using the coupled Adomian Alienor methods
Purpose - This paper deals with the use of the combined Adomian Alienor methods for solving the problem of optimal cancer chemotherapy model.Design methodology approach - The combination of the Adomian decomposition method and the Alienor reducing transformation method allows us to solve the control...
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Veröffentlicht in: | Kybernetes 2006-01, Vol.35 (6), p.905-914 |
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description | Purpose - This paper deals with the use of the combined Adomian Alienor methods for solving the problem of optimal cancer chemotherapy model.Design methodology approach - The combination of the Adomian decomposition method and the Alienor reducing transformation method allows us to solve the control problem as if it were a classical one dimensional minimization problem. The mathematical model used here describes specific model based on cell-cycle kinetics.Findings - It was found that the goal is to maintain the number of the cancerous cells around a desired value while keeping the toxicity to the normal tissues acceptable.Practical implications - Simulation results are given for illustration.Originality value - New combined approach to optimal control of cancer chemotherapy using Adomian Alienor Methods. |
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The mathematical model used here describes specific model based on cell-cycle kinetics.Findings - It was found that the goal is to maintain the number of the cancerous cells around a desired value while keeping the toxicity to the normal tissues acceptable.Practical implications - Simulation results are given for illustration.Originality value - New combined approach to optimal control of cancer chemotherapy using Adomian Alienor Methods.</description><identifier>ISSN: 0368-492X</identifier><identifier>EISSN: 1758-7883</identifier><identifier>DOI: 10.1108/03684920610662700</identifier><identifier>CODEN: KBNTA3</identifier><language>eng</language><publisher>London: Emerald Group Publishing Limited</publisher><subject>Cancer ; Chemotherapy ; Cybernetics ; Problem solving</subject><ispartof>Kybernetes, 2006-01, Vol.35 (6), p.905-914</ispartof><rights>Emerald Group Publishing Limited</rights><rights>Copyright Emerald Group Publishing Limited 2006</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c364t-16bd19f46692fbeadd1c12c2a34233abb2d54200ec36f62bb1455c0a541e54213</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/03684920610662700/full/pdf$$EPDF$$P50$$Gemerald$$H</linktopdf><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/03684920610662700/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>314,777,781,962,11616,27905,27906,52667,52670</link.rule.ids></links><search><creatorcontrib>Manseur, S.</creatorcontrib><creatorcontrib>Cherruault, Y.</creatorcontrib><title>Optimal control of cancer chemotherapy model using the coupled Adomian Alienor methods</title><title>Kybernetes</title><description>Purpose - This paper deals with the use of the combined Adomian Alienor methods for solving the problem of optimal cancer chemotherapy model.Design methodology approach - The combination of the Adomian decomposition method and the Alienor reducing transformation method allows us to solve the control problem as if it were a classical one dimensional minimization problem. The mathematical model used here describes specific model based on cell-cycle kinetics.Findings - It was found that the goal is to maintain the number of the cancerous cells around a desired value while keeping the toxicity to the normal tissues acceptable.Practical implications - Simulation results are given for illustration.Originality value - New combined approach to optimal control of cancer chemotherapy using Adomian Alienor Methods.</description><subject>Cancer</subject><subject>Chemotherapy</subject><subject>Cybernetics</subject><subject>Problem solving</subject><issn>0368-492X</issn><issn>1758-7883</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqN0T1PwzAQBmALgUQp_AA2i4GJwJ2dOOlYVXxJlboAYosc26GpnDjYydB_j6syUSSYLPme19bdEXKJcIsIxR1wUaQzBgJBCJYDHJEJ5lmR5EXBj8lkV08ieD8lZyFsAJAJBhPytuqHppWWKtcN3lnqaqpkp4ynam1aN6yNl_2Wtk4bS8fQdB803kU-9tZoOteubWRH57YxnfO0NcPa6XBOTmppg7n4Pqfk9eH-ZfGULFePz4v5MlFcpEOCotI4q1MhZqyujNQaFTLFJE8Z57KqmM5SBmAirwWrKkyzTIHMUjSxgHxKrvfv9t59jiYMZdsEZayVnXFjKDlPMwTO_4SsyFDwvIjw6gfcuNF3sYky_jfDTACLCPdIeReCN3XZ-zhFvy0Ryt0-yoN9xAzsM6aNI7X6X5Gb3yMHtOx1zb8AQFeYGQ</recordid><startdate>20060101</startdate><enddate>20060101</enddate><creator>Manseur, S.</creator><creator>Cherruault, Y.</creator><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>7XB</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20060101</creationdate><title>Optimal control of cancer chemotherapy model using the coupled Adomian Alienor methods</title><author>Manseur, S. ; 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title | Optimal control of cancer chemotherapy model using the coupled Adomian Alienor methods |
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