乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,2,5]],"date-time":"2023-02-05T08:31:26Z","timestamp":1675585886572},"reference-count":67,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2016,11,1]],"date-time":"2016-11-01T00:00:00Z","timestamp":1477958400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Nat Comput"],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1007\/s11047-016-9585-y","type":"journal-article","created":{"date-parts":[[2016,11,1]],"date-time":"2016-11-01T08:54:12Z","timestamp":1477990452000},"page":"661-675","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Multi-objective differential evolution based on normalization and improved mutation strategy"],"prefix":"10.1007","volume":"16","author":[{"given":"Noor H.","family":"Awad","sequence":"first","affiliation":[]},{"given":"Mostafa Z.","family":"Ali","sequence":"additional","affiliation":[]},{"given":"Rehab M.","family":"Duwairi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,11,1]]},"reference":[{"key":"9585_CR1","doi-asserted-by":"crossref","unstructured":"Abbass HA (2002) The self-adaptive pareto differential evolution algorithm. In: Proceedings congress on evolutionary computation, vol 1. Piscataway, NJ, pp 831\u2013836","DOI":"10.1109\/CEC.2002.1007033"},{"key":"9585_CR2","doi-asserted-by":"crossref","first-page":"279","DOI":"10.2507\/IJSIMM13(3)2.264","volume":"13","author":"J Adeyemo","year":"2014","unstructured":"Adeyemo J, Olofintoye OO (2014) Evaluation of combined Pareto multiobjective differential evolution on tuneable problems. Int J Simul Model 13:279\u2013287","journal-title":"Int J Simul Model"},{"key":"9585_CR3","volume-title":"Advances in evolutionary algorithms: theory design and practice (studies in computational intelligence)","author":"CW Ahn","year":"2006","unstructured":"Ahn CW (2006) Advances in evolutionary algorithms: theory design and practice (studies in computational intelligence). Springer-Verlag, New York, Inc., Secaucus"},{"issue":"2","key":"9585_CR4","first-page":"404","volume":"217","author":"M Ali","year":"2012","unstructured":"Ali M, Siarrya P, Pantb M (2012) An efficient differential evolution based algorithm for solving multi-objective optimization problems. Eur J Oper Res 217(2):404\u2013416","journal-title":"Eur J Oper Res"},{"key":"9585_CR5","unstructured":"Babu BV, Mathew M, Leenus J (2003) Differential evolution for multi-objective optimization. In: Proceedings of the congress on evolutionary computation, vol 4. IEEE Press, Canberra, Australia, pp 2696\u20132703"},{"issue":"6","key":"9585_CR6","doi-asserted-by":"crossref","first-page":"646","DOI":"10.1109\/TEVC.2006.872133","volume":"10","author":"J Brest","year":"2006","unstructured":"Brest J, Greiner S, Boskovic B, Mernik M, Zumer V (2006) Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems. IEEE Trans Evolut Comput 10(6):646\u2013657","journal-title":"IEEE Trans Evolut Comput"},{"key":"9585_CR7","doi-asserted-by":"publisher","first-page":"931630","DOI":"10.1155\/2014\/931630","volume":"2014","author":"B Chen","year":"2014","unstructured":"Chen B, Zeng W, Lin Y, Zhong Q (2014) An enhanced differential evolution based algorithm with simulated annealing for solving multiobjective optimization problems. J Appl Math 2014:931630. doi: 10.1155\/2014\/931630","journal-title":"J Appl Math"},{"issue":"1","key":"9585_CR8","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1007\/s10489-014-0619-9","volume":"43","author":"B Chen","year":"2015","unstructured":"Chen B, Lin Y, Zeng W, Zhang D, Si Y-W (2015) Modified differential evolution algorithm using a new diversity maintenance strategy for multi-objective optimization problems. Appl Intell 43(1):49\u201373","journal-title":"Appl Intell"},{"issue":"3","key":"9585_CR9","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1109\/TEM.2014.2327512","volume":"61","author":"M-Y Cheng","year":"2014","unstructured":"Cheng M-Y, Tran D-H (2014) Two-phase differential evolution for the multiobjective optimization of time\u2013cost tradeoffs in resource-constrained construction projects. IEEE Trans Eng Manag 61(3):450\u2013461","journal-title":"IEEE Trans Eng Manag"},{"key":"9585_CR10","unstructured":"Das S (2014) Data clustering using multi-objective differential evolution algorithms. In: Proceeding of the 15th annual conference on Genetic and evolutionary computation, GECCO"},{"issue":"3","key":"9585_CR12","doi-asserted-by":"crossref","first-page":"526","DOI":"10.1109\/TEVC.2008.2009457","volume":"13","author":"S Das","year":"2009","unstructured":"Das S, Abraham A, Chakraborty UK, Konar A (2009) Differential evolution using a neighborhood based mutation operator. IEEE Trans Evol Comput 13(3):526\u2013553","journal-title":"IEEE Trans Evol Comput"},{"key":"9585_CR13","volume-title":"Multi-objective optimization using evolutionary algorithms","author":"K Deb","year":"2001","unstructured":"Deb K (2001) Multi-objective optimization using evolutionary algorithms. Wiley, New York"},{"key":"9585_CR14","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb K, Agrawal S, Pratap A, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6:182\u2013197","journal-title":"IEEE Trans Evol Comput"},{"key":"9585_CR15","unstructured":"Drozdik M (2014) Attempt to reduce the computational complexity in multi-objective differential evolution algorithms. In: Proceeding of the 15th annual conference on genetic and evolutionary computation, GECCO, pp 599\u2013606"},{"key":"9585_CR16","isbn-type":"print","volume-title":"Multicriteria optimization","author":"M Ehrgott","year":"2005","unstructured":"Ehrgott M (2005) Multicriteria optimization, 2nd edn. Springer, Berlin. ISBN 3-540-21398-8","ISBN":"http:\/\/id.crossref.org\/isbn\/3540213988","edition":"2"},{"key":"9585_CR17","first-page":"945","volume":"13","author":"C Erbas","year":"2006","unstructured":"Erbas C, Erbas S-C, Pimentel A (2006) Multiobjective optimization and evolutionary algorithms for the application mapping problem in multiprocessor system-on-chip design. IEEE Trans Evol Comput 13:945\u2013958","journal-title":"IEEE Trans Evol Comput"},{"key":"9585_CR18","doi-asserted-by":"publisher","unstructured":"Fan Q, Yan X (2015) Multi-objective modified differential evolution algorithm with archive-base mutation for solving multi-objective p-xylene oxidation process. J Intell Manuf 1\u201315. doi: 10.1007\/s10845-015-1087-8","DOI":"10.1007\/s10845-015-1087-8"},{"key":"9585_CR19","volume-title":"Artificial intelligence through simulated evolution","author":"L Fogel","year":"1999","unstructured":"Fogel L (1999) Artificial intelligence through simulated evolution. Wiley, New York"},{"key":"9585_CR20","unstructured":"Gamperle R, Muller SD, Koumoutsakos P (2002) A parameter study for differential evolution. In: Proceedings of advances intell Syst Fuzzy Syst Evol Comput, pp. 293\u2013298. Greece"},{"key":"9585_CR21","doi-asserted-by":"crossref","unstructured":"Gao S, Zeng S, Xiao B, Zhang L, Shi Y, Tian X, Yang Y, Long H, Yang X, D. Yu, Yan Z (2009) An orthogonal multi-objective evolutionary algorithm with lower-dimensional crossover. In: Proceeding of IEEE congress of evolutionary computation, 1959\u20131964, Trondheim","DOI":"10.1109\/CEC.2009.4983180"},{"key":"9585_CR22","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/j.ins.2014.03.050","volume":"278","author":"M Ghasemi","year":"2014","unstructured":"Ghasemi M, Ghanbarian MM, Ghavidel S, Rahmani S, Moghaddam EM (2014) Modified teaching learning algorithm and double differential evolution algorithm for optimal reactive power dispatch problem: a comparative study. Inf Sci 278:231\u2013249","journal-title":"Inf Sci"},{"key":"9585_CR23","volume-title":"Genetic algorithm in search optimization and machine learning","author":"DE Goldberg","year":"1989","unstructured":"Goldberg DE (1989) Genetic algorithm in search optimization and machine learning. Addison-Wesley Longman Publishing Co., Inc., Boston"},{"key":"9585_CR24","doi-asserted-by":"crossref","unstructured":"Hamdi-Cherif A, Kara-Mohammed C (2011) Evolutionary multiobjective optimization for medical classification in Proceedings of IEEE congress GCC conference and exhibition, pp 441\u2013444","DOI":"10.1109\/IEEEGCC.2011.5752566"},{"key":"9585_CR25","doi-asserted-by":"crossref","unstructured":"Huang VL, Qin AK, Suganthan PN, Tasgetiren MF (2007) Multi-objective optimization based on self-adaptive differential evolution algorithm. In: Proceedings of the congress on evolutionary computation, Singapore","DOI":"10.1109\/CEC.2007.4424939"},{"key":"9585_CR26","doi-asserted-by":"crossref","unstructured":"Huang VL, Zhao SZ, Mallipeddi R, Suganthan PN (2009) Multi-objective optimization based on self-adaptive differential evolution algorithm. Proceedings of IEEE congress of evolutionary computation, pp 190\u2013194. Trondheim","DOI":"10.1109\/CEC.2009.4982947"},{"issue":"5","key":"9585_CR27","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1109\/TEVC.2005.861417","volume":"10","author":"S Huband","year":"2006","unstructured":"Huband S, Hingston P, Barone L, While L (2006) A review of multiobjective test problems and a scalable test problem toolkit. IEEE Trans Evol Comput 10(5):477\u2013506","journal-title":"IEEE Trans Evol Comput"},{"key":"9585_CR28","first-page":"861","volume":"3339","author":"AW Iorio","year":"2004","unstructured":"Iorio AW, Li X (2004) Solving rotated multi-objective optimization problems using differential evolution. Proc Adv Artif Intell 3339:861\u2013872","journal-title":"Proc Adv Artif Intell"},{"issue":"1","key":"9585_CR29","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1109\/3468.736361","volume":"29","author":"R Joshi","year":"1999","unstructured":"Joshi R, Sanderson AC (1999) Minimal representation multisensor fusion using differential evolution. IEEE Trans Syst Man Cybern Part A 29(1):63\u201376","journal-title":"IEEE Trans Syst Man Cybern Part A"},{"key":"9585_CR30","doi-asserted-by":"crossref","unstructured":"Knowles JD, Corne DW (1999) The Pareto archived evolution strategy: a new baseline algorithm for multiobjective optimization. In: Proceedings of IEEE congress of evolutionary computation. Washington, DC","DOI":"10.1109\/CEC.1999.781913"},{"issue":"2","key":"9585_CR31","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1162\/106365600568167","volume":"8","author":"JD Knowles","year":"2000","unstructured":"Knowles JD, Corne DW (2000) Approximating the nondominated front using the Pareto archived evolution strategy. Evol Comput 8(2):149\u2013172","journal-title":"Evol Comput"},{"key":"9585_CR32","first-page":"553","volume":"4193","author":"S Kukkonen","year":"2006","unstructured":"Kukkonen S, Deb K (2006) A fast and effective method for pruning of non-dominated solutions in many-objective problems. Parallel Problem Solving Nat 4193:553\u2013562","journal-title":"Parallel Problem Solving Nat"},{"key":"9585_CR33","first-page":"752","volume":"3242","author":"S Kukkonen","year":"2004","unstructured":"Kukkonen S, Lampinen J (2004) An extension of generalized differential evolution for multi-objective optimization with constraints. Parallel Problem Solving Nat 3242:752\u2013761","journal-title":"Parallel Problem Solving Nat"},{"key":"9585_CR34","doi-asserted-by":"crossref","unstructured":"Kukkonen S, Lampinen J (2009) Performance assessment of generalized differential evolution 3 with a given set of constrained multi-objective test problems. In: Proceedings of IEEE congress of evolutionary computation, Trondheim, pp 1943\u20131950","DOI":"10.1109\/CEC.2009.4983178"},{"key":"9585_CR35","first-page":"6","volume":"90","author":"S Kumar","year":"2014","unstructured":"Kumar S, Sharma VK, Kumari R (2014) Memetic search in differential evolution agorithm. Int J Comput Appl 90:6","journal-title":"Int J Comput Appl"},{"key":"9585_CR36","doi-asserted-by":"crossref","unstructured":"Liu H-L, Li X (2009) The multiobjective evolutionary algorithm based on determined weight and sub-regional search. In: Proceedings of IEEE congress of evolutionary computation, Trondheim, pp 1928\u20131934","DOI":"10.1109\/CEC.2009.4983176"},{"key":"9585_CR37","doi-asserted-by":"crossref","unstructured":"Liu M, Zou X, Chen Y, Wu Z (2009) Performance assessment of DMOEA-DD with CEC 2009 MOEA competition test instances. In: Proceedings of IEEE congress of evolutionary computation, Trondheim, pp 2913\u20132918","DOI":"10.1109\/CEC.2009.4983309"},{"key":"9585_CR38","first-page":"1145","volume":"2","author":"NK Madavan","year":"2002","unstructured":"Madavan NK (2002) Multiobjective optimization using a pareto diferential evolution approach. Proc Congr Evol Comput 2:1145\u20131150","journal-title":"Proc Congr Evol Comput"},{"key":"9585_CR39","doi-asserted-by":"crossref","unstructured":"Mezura-Montes E, Reyes-Sierra M, Coello-Coello CA (2008) Multi-objective optimization using differential evolution. A survey of the state-of-the-art. In: Chakraborty UK (ed) Advances in differential evolution, vol 143. pp 173\u2013196","DOI":"10.1007\/978-3-540-68830-3_7"},{"key":"9585_CR40","volume-title":"Genetic algorithms\u00a0+\u00a0data structures\u00a0=\u00a0evolution programs","author":"Z Michalewicz","year":"1994","unstructured":"Michalewicz Z (1994) Genetic algorithms\u00a0+\u00a0data structures\u00a0=\u00a0evolution programs. Springer, New York"},{"key":"9585_CR41","volume-title":"Nonlinear multiobjective optimization","author":"KM Miettinen","year":"1999","unstructured":"Miettinen KM (1999) Nonlinear multiobjective optimization. Kluwer Academic Publishers, Boston"},{"key":"9585_CR42","doi-asserted-by":"crossref","unstructured":"Morgan D, Waldock A, Corne D (2013) MOPC\/D: a new probability collectives algorithm for multiobjective optimisation. In: IEEE symposium on computational intelligence in multi-criteria decision-making","DOI":"10.1109\/MCDM.2013.6595439"},{"key":"9585_CR43","doi-asserted-by":"crossref","unstructured":"Parsopoulos KE, Taoulis DK, Pavlidis NG, Plagianakos VP, Vrahatis MN (2004) Vector evaluated differential evolution for multiobjective optimization. In: Proceedings of congress on evolutionary computation, vol 1, Portland, Oregon, USA, IEEE Service Center, pp 204\u2013211","DOI":"10.1109\/CEC.2004.1330858"},{"key":"9585_CR44","doi-asserted-by":"crossref","unstructured":"Patel R, Raghuwanshi MM, Malik LG (2011) An improved ranking scheme for selection of parents in multi-objective genetic algorithm. In International conference on communication systems and network technologies (CSNT), pp 734\u2013739","DOI":"10.1109\/CSNT.2011.156"},{"key":"9585_CR46","volume-title":"Differential evolution: a practical approach to global optimization","author":"KV Price","year":"2005","unstructured":"Price KV, Storn RM, Lampinen JA (2005) Differential evolution: a practical approach to global optimization. Springer, New York"},{"issue":"17","key":"9585_CR47","doi-asserted-by":"crossref","first-page":"3170","DOI":"10.1016\/j.ins.2010.05.013","volume":"180","author":"BY Qu","year":"2010","unstructured":"Qu BY, Suganthan PN (2010) Multi-objective evolutionary algorithms based on the summation of normalized objectives and diversified selection. Inf Sci 180(17):3170\u20133181","journal-title":"Inf Sci"},{"key":"9585_CR48","unstructured":"Rechenberg I (1965) Cybernetic solution path of an experimental problem. Royal Aircraft Establishment, Library Translation 1122, Farnborough"},{"key":"9585_CR49","doi-asserted-by":"crossref","unstructured":"Rubio-Largo A, Gonzalez-Alvarez DL, Vega-RodrIguez MA, Gomez-Pulido JA and Sanchez-Perez JM (2012) MO-ABC\/DE\u2014multiobjective artificial bee colony with differential evolution for unconstrained multiobjective optimization. In: IEEE 13th international symposium on computational intelligence and informatics","DOI":"10.1109\/CINTI.2012.6496752"},{"issue":"3","key":"9585_CR50","doi-asserted-by":"crossref","first-page":"470","DOI":"10.1016\/j.cor.2009.02.006","volume":"37","author":"LV Santana-Quintero","year":"2010","unstructured":"Santana-Quintero LV, Hernandez-Diaz AG, Molina J, Coello-Coello CA, Caballero R (2010) DEMORS: a hybrid multi-objective optimization algorithm using differential evolution and rough set theory for constrained problems. Comput Oper 37(3):470\u2013480","journal-title":"Comput Oper"},{"key":"9585_CR51","unstructured":"Schaffer JD (1985) Multiple objective optimization with vector evaluated genetic algorithms. In: Proceedings of an international conference on genetic algorithms and their application, pp 93\u2013100. Pittsburgh"},{"key":"9585_CR52","doi-asserted-by":"crossref","unstructured":"Sindhya K, Sinha A, Deb K, Miettinen K (2009) Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems. In: Proceedings of IEEE congress of evolutionary computation, pp. 2919\u20132926. Trondheim","DOI":"10.1109\/CEC.2009.4983310"},{"key":"9585_CR53","doi-asserted-by":"crossref","first-page":"731","DOI":"10.1016\/j.ijepes.2013.10.015","volume":"55","author":"H Singh","year":"2014","unstructured":"Singh H, Srivastava L (2014) Modified differential evolution algorithm for multi-objective VAR management. Int J Electr Power Energy Syst 55:731\u2013740","journal-title":"Int J Electr Power Energy Syst"},{"key":"9585_CR54","volume-title":"Introduction to genetic algorithms","author":"S Sivanandam","year":"2008","unstructured":"Sivanandam S, Deepa S (2008) Introduction to genetic algorithms. Springer, Berlin"},{"key":"9585_CR55","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn R, Price KV (1997) Differential evolution\u2014a simple and efficient heuristic for global optimization over continuous Spaces. J Global Optim 11:341\u2013359","journal-title":"J Global Optim"},{"key":"9585_CR56","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.swevo.2016.01.004","volume":"27","author":"D Swagatam","year":"2016","unstructured":"Swagatam D, Mullick SS, Suganthan PN (2016) Recent advances in differential evolution\u2014an updated survey. Swarm Evol Comput 27:1\u201330","journal-title":"Swarm Evol Comput"},{"key":"9585_CR57","doi-asserted-by":"crossref","unstructured":"Tiwari S, Fadel G, Koch P, Deb K (2009) Performance assessment of the hybrid archive-based micro genetic algorithm (AMGA) on the CEC09 test problems. In: Proceeding of IEEE congress of evolutionary computation, 1935\u20131942, Trondheim","DOI":"10.1109\/CEC.2009.4983177"},{"key":"9585_CR58","doi-asserted-by":"crossref","unstructured":"Tseng L-Y, Chen C (2009) Multiple trajectory search for unconstrained\/constrained multi-objective optimization. In: Proceedings of IEEE congress of evolutionary computation, Trondheim, pp 1951\u20131958","DOI":"10.1109\/CEC.2009.4983179"},{"key":"9585_CR59","doi-asserted-by":"publisher","unstructured":"Waldock A, Corne D (2010) Multi-objective probability collectives. In:\u00a0Proceedings of the 2010 international conference on applications of evolutionary computation, vol 6024. pp 461\u2013470. doi: 10.1007\/978-3-642-12239-2_48","DOI":"10.1007\/978-3-642-12239-2_48"},{"key":"9585_CR60","doi-asserted-by":"crossref","unstructured":"Wang Y, Dang C, Li H, Han L, Wei J (2009) A clustering multi-objective evolutionary algorithm based on orthogonal and uniform design. In: Proceedings of IEEE congress of evolutionary computation, Trondheim, pp 2927\u20132933","DOI":"10.1109\/CEC.2009.4983311"},{"key":"9585_CR61","first-page":"3535","volume":"3","author":"F Xue","year":"2003","unstructured":"Xue F (2003) Multi-objective differential evolution and its application to enterprise planning. Proc IEEE Int Conf Robot Autom 3:3535\u20133541","journal-title":"Proc IEEE Int Conf Robot Autom"},{"key":"9585_CR62","first-page":"516","volume-title":"Multi-objective feature selection in classification: a differential evolution approach","author":"B Xue","year":"2014","unstructured":"Xue B, Fu W, Zhang M (2014) Multi-objective feature selection in classification: a differential evolution approach. Springer International Publishing, Basel, pp 516\u2013528"},{"key":"9585_CR63","doi-asserted-by":"crossref","unstructured":"Zamuda A, Brest J, Boskovi B, Zumer V (2009) Differential evolution with self-adaptation and local search for constrained multiobjective optimization. In: Proceedings of IEEE congress of evolutionary computation, Trondheim, pp 195\u2013202","DOI":"10.1109\/CEC.2009.4982948"},{"key":"9585_CR64","unstructured":"Zhang Q, Zhou A, Zhaoy S, Suganthany PN, Liu W, Tiwar S (2007) Problem definitions for performance assessment on, multi-objective optimization algorithms. Technical report"},{"key":"9585_CR65","unstructured":"Zhang J, Avasarala V, Sanderson AC, Mullen T (2008) Differential evolution for discrete optimization: an experimental study on combinatorial auction problems. In: Proceedings IEEE World Congr Comput Intell, Hong Kong, China, pp 2794\u20132800"},{"key":"9585_CR66","doi-asserted-by":"crossref","unstructured":"Zhang Q, Liu W, Li H (2009) The performance of a new version of MOEA\/D on CEC09 unconstrained MOP test instances. In: Proceedings of IEEE congress of evolutionary computation, Trondheim, pp 203\u2013208","DOI":"10.1109\/CEC.2009.4982949"},{"key":"9585_CR67","unstructured":"Zhang Q, Zhou A, Zhaoy S, Suganthany PN, Liu W, Tiwar S (2009) Multiobjective optimization test instances for the CEC 2009 special session and competition. Technical report"},{"key":"9585_CR68","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1007\/978-3-319-20466-6_36","volume":"9140","author":"Y Zhang","year":"2015","unstructured":"Zhang Y, Gong D-W, Rong M (2015) Multi-objective differential evolution algorithm for multi-label feature selection in classification. Adv Swarm Comput Intell 9140:339\u2013345","journal-title":"Adv Swarm Comput Intell"},{"key":"9585_CR69","unstructured":"Zitzler E, Laumanns M, Thiele L (2001) SPEA2: improving the strength Pareto evolutionary algorithm. In: Evolutionary methods for design, optimisation and control with application to industrial problems (EUROGEN 2001). pp 95\u2013100"}],"container-title":["Natural Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11047-016-9585-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11047-016-9585-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11047-016-9585-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,27]],"date-time":"2020-09-27T02:05:15Z","timestamp":1601172315000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11047-016-9585-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,11,1]]},"references-count":67,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2017,12]]}},"alternative-id":["9585"],"URL":"https:\/\/doi.org\/10.1007\/s11047-016-9585-y","relation":{},"ISSN":["1567-7818","1572-9796"],"issn-type":[{"value":"1567-7818","type":"print"},{"value":"1572-9796","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,11,1]]}}}