{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T16:13:31Z","timestamp":1780762411018,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,7,13]],"date-time":"2019-07-13T00:00:00Z","timestamp":1562976000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,7,13]]},"DOI":"10.1145\/3321707.3321808","type":"proceedings-article","created":{"date-parts":[[2019,7,3]],"date-time":"2019-07-03T13:48:04Z","timestamp":1562161684000},"page":"762-770","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["On improving the constraint-handling performance with modified multiple constraint ranking (MCR-mod) for engineering design optimization problems solved by evolutionary algorithms"],"prefix":"10.1145","author":[{"given":"Yohanes Bimo","family":"Dwianto","sequence":"first","affiliation":[{"name":"The University of Tokyo, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiroaki","family":"Fukumoto","sequence":"additional","affiliation":[{"name":"Institute of Space and Astronautical Science, Kanagawa, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Akira","family":"Oyama","sequence":"additional","affiliation":[{"name":"Institute of Space and Astronautical Science, Kanagawa, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2019,7,13]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.2514\/2.764"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2011.12.026"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Zuhal L.R. Dwianto Y.B. and Palar P.S. 2014. Evolutionary Algorithm Based Multi-objective Aerodynamics Optimization Method for Low Reynolds Number Airfoil. Applied Mechanics & Materials 660.  Zuhal L.R. Dwianto Y.B. and Palar P.S. 2014. Evolutionary Algorithm Based Multi-objective Aerodynamics Optimization Method for Low Reynolds Number Airfoil. Applied Mechanics & Materials 660.","DOI":"10.4028\/www.scientific.net\/AMM.660.487"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Lagaros N.D. Papadrakakis M. and Kokossalakis G. 2002. Structural optimization using evolutionary algorithms. Computers & structures 80(7--8) pp.571--589.  Lagaros N.D. Papadrakakis M. and Kokossalakis G. 2002. Structural optimization using evolutionary algorithms. Computers & structures 80(7--8) pp.571--589.","DOI":"10.1016\/S0045-7949(02)00027-5"},{"key":"e_1_3_2_1_5_1","unstructured":"Martin S. and Day A. 2015. A multi-point performance matched aerofoil design algorithm for a scaled wind turbine rotor model.  Martin S. and Day A. 2015. A multi-point performance matched aerofoil design algorithm for a scaled wind turbine rotor model."},{"key":"e_1_3_2_1_6_1","volume-title":"32nd AIAA Applied Aerodynamics Conference (p. 2845)","author":"He Y.","unstructured":"He , Y. and Agarwal , R.K ., 2014. Shape optimization of NREL S809 airfoil for wind turbine blades using a multi-objective genetic algorithm . In 32nd AIAA Applied Aerodynamics Conference (p. 2845) . He, Y. and Agarwal, R.K., 2014. Shape optimization of NREL S809 airfoil for wind turbine blades using a multi-objective genetic algorithm. In 32nd AIAA Applied Aerodynamics Conference (p. 2845)."},{"key":"e_1_3_2_1_7_1","first-page":"105","volume-title":"Optimal design of steel frames using stochastic search techniques based on natural phenomena: a review. Civil engineering computations: tools and techniques, 6","author":"Saka M.P.","unstructured":"Saka , M.P. , 2007. Optimal design of steel frames using stochastic search techniques based on natural phenomena: a review. Civil engineering computations: tools and techniques, 6 , pp. 105 -- 147 . Saka, M.P., 2007. Optimal design of steel frames using stochastic search techniques based on natural phenomena: a review. Civil engineering computations: tools and techniques, 6, pp.105--147."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compstruc.2009.01.002"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compstruc.2013.06.003"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.advengsoft.2013.03.001"},{"key":"e_1_3_2_1_11_1","volume-title":"Genetic Algorithms in Search, Optimization and Machine Learning","author":"David E.","unstructured":"David E. Goldberg . 1989. Genetic Algorithms in Search, Optimization and Machine Learning ( 1 st ed.). Addison-Wesley Longman Publishing Co., Inc. , Boston, MA, USA . David E. Goldberg. 1989. Genetic Algorithms in Search, Optimization and Machine Learning (1st ed.). Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA.","edition":"1"},{"key":"e_1_3_2_1_12_1","volume-title":"Encyclopedia of machine learning (pp. 760--766)","author":"Kennedy J.","unstructured":"Kennedy , J. , 2011. Particle swarm optimization . In Encyclopedia of machine learning (pp. 760--766) . Springer , Boston, MA . Kennedy, J., 2011. Particle swarm optimization. In Encyclopedia of machine learning (pp. 760--766). Springer, Boston, MA."},{"key":"e_1_3_2_1_13_1","volume-title":"Ant Colony Optimization and Swarm Intelligence: 6th International Conference, ANTS 2008, Brussels, Belgium, September 22--24, 2008, Proceedings (Vol. 5217)","author":"Dorigo M.","unstructured":"Dorigo , M. , Birattari , M. , Blum , C. , Clerc , M. , St\u00fctzle , T. and Winfield , A . eds., 2008 . Ant Colony Optimization and Swarm Intelligence: 6th International Conference, ANTS 2008, Brussels, Belgium, September 22--24, 2008, Proceedings (Vol. 5217) . Springer. Dorigo, M., Birattari, M., Blum, C., Clerc, M., St\u00fctzle, T. and Winfield, A. eds., 2008. Ant Colony Optimization and Swarm Intelligence: 6th International Conference, ANTS 2008, Brussels, Belgium, September 22--24, 2008, Proceedings (Vol. 5217). Springer."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2011.10.001"},{"key":"e_1_3_2_1_15_1","unstructured":"Barbosa H.J. and Lemonge A.C. 2008. An adaptive penalty method for genetic algorithms in constrained optimization problems. In Frontiers in Evolutionary Robotics. InTech.  Barbosa H.J. and Lemonge A.C. 2008. An adaptive penalty method for genetic algorithms in constrained optimization problems. In Frontiers in Evolutionary Robotics. InTech."},{"key":"e_1_3_2_1_16_1","first-page":"311","volume-title":"An efficient constraint handling method for genetic algorithms. Computer methods in applied mechanics and engineering, 186(2--4)","author":"Deb K.","unstructured":"Deb , K. , 2000. An efficient constraint handling method for genetic algorithms. Computer methods in applied mechanics and engineering, 186(2--4) , pp. 311 -- 338 . Deb, K., 2000. An efficient constraint handling method for genetic algorithms. Computer methods in applied mechanics and engineering, 186(2--4), pp.311--338."},{"key":"e_1_3_2_1_17_1","first-page":"279","volume-title":"Evolutionary Computation, 2002. CEC'02. Proceedings of the 2002 Congress on (Vol. 1","author":"Runarsson T.P.","unstructured":"Runarsson , T.P. and Yao , X ., 2002, May. Continuous selection and self-adaptive evolution strategies . In Evolutionary Computation, 2002. CEC'02. Proceedings of the 2002 Congress on (Vol. 1 , pp. 279 -- 284 ). IEEE. Runarsson, T.P. and Yao, X., 2002, May. Continuous selection and self-adaptive evolution strategies. In Evolutionary Computation, 2002. CEC'02. Proceedings of the 2002 Congress on (Vol. 1, pp. 279--284). IEEE."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2007.01.011"},{"key":"e_1_3_2_1_19_1","volume-title":"Evolutionary Computation (CEC), 2010 IEEE Congress on (pp. 1--8). IEEE.","author":"Mallipeddi R.","unstructured":"Mallipeddi , R. and Suganthan , P.N ., 2010, July. Differential evolution with ensemble of constraint handling techniques for solving CEC 2010 benchmark problems . In Evolutionary Computation (CEC), 2010 IEEE Congress on (pp. 1--8). IEEE. Mallipeddi, R. and Suganthan, P.N., 2010, July. Differential evolution with ensemble of constraint handling techniques for solving CEC 2010 benchmark problems. In Evolutionary Computation (CEC), 2010 IEEE Congress on (pp. 1--8). IEEE."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.08.012"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compstruc.2017.03.023"},{"issue":"8","key":"e_1_3_2_1_22_1","first-page":"8","article-title":"Problem definitions and evaluation criteria for the CEC 2006 special session on constrained real-parameter optimization","volume":"41","author":"Liang J.J.","year":"2006","unstructured":"Liang , J.J. , Runarsson , T.P. , Mezura-Montes , E. , Clerc , M. , Suganthan , P.N. , Coello , C.C. and Deb , K. , 2006 . Problem definitions and evaluation criteria for the CEC 2006 special session on constrained real-parameter optimization . Journal of Applied Mechanics , 41 ( 8 ), pp. 8 -- 31 . Liang, J.J., Runarsson, T.P., Mezura-Montes, E., Clerc, M., Suganthan, P.N., Coello, C.C. and Deb, K., 2006. Problem definitions and evaluation criteria for the CEC 2006 special session on constrained real-parameter optimization. Journal of Applied Mechanics, 41(8), pp.8--31.","journal-title":"Journal of Applied Mechanics"},{"issue":"6","key":"e_1_3_2_1_23_1","first-page":"965","article-title":"A hybrid co-evolutionary particle swarm optimization algorithm for solving constrained engineering design problems","volume":"5","author":"Zhou Y.","year":"2010","unstructured":"Zhou , Y. and Pei , S. , 2010 . A hybrid co-evolutionary particle swarm optimization algorithm for solving constrained engineering design problems . JCP , 5 ( 6 ), pp. 965 -- 972 . Zhou, Y. and Pei, S., 2010. A hybrid co-evolutionary particle swarm optimization algorithm for solving constrained engineering design problems. JCP, 5(6), pp.965--972.","journal-title":"JCP"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Gibbons J.D. and Chakraborti S. 2011. Nonparametric statistical inference. In International encyclopedia of statistical science (pp. 977--979). Springer Berlin Heidelberg.  Gibbons J.D. and Chakraborti S. 2011. Nonparametric statistical inference. In International encyclopedia of statistical science (pp. 977--979). Springer Berlin Heidelberg.","DOI":"10.1007\/978-3-642-04898-2_420"}],"event":{"name":"GECCO '19: Genetic and Evolutionary Computation Conference","location":"Prague Czech Republic","acronym":"GECCO '19","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"]},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3321707.3321808","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3321707.3321808","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:25:28Z","timestamp":1750206328000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3321707.3321808"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,13]]},"references-count":24,"alternative-id":["10.1145\/3321707.3321808","10.1145\/3321707"],"URL":"https:\/\/doi.org\/10.1145\/3321707.3321808","relation":{},"subject":[],"published":{"date-parts":[[2019,7,13]]},"assertion":[{"value":"2019-07-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}