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Evol. Learn. Optim."],"published-print":{"date-parts":[[2021,9,30]]},"abstract":"<jats:p>Large-scale optimization problems and constrained optimization problems have attracted considerable attention in the swarm and evolutionary intelligence communities and exemplify two common features of real problems, i.e., a large scale and constraint limitations. However, only a little work on solving large-scale continuous constrained optimization problems exists. Moreover, the types of benchmarks proposed for large-scale continuous constrained optimization algorithms are not comprehensive at present.<\/jats:p>\n          <jats:p>In this article, first, a constraint-objective cooperative coevolution (COCC) framework is proposed for large-scale continuous constrained optimization problems, which is based on the dual nature of the objective and constraint functions: modular and imbalanced components. The COCC framework allocates the computing resources to different components according to the impact of objective values and constraint violations. Second, a benchmark for large-scale continuous constrained optimization is presented, which takes into account the modular nature, as well as both imbalanced and overlapping characteristics of components. Finally, three different evolutionary algorithms are embedded into the COCC framework for experiments, and the experimental results show that COCC performs competitively.<\/jats:p>","DOI":"10.1145\/3469036","type":"journal-article","created":{"date-parts":[[2021,8,18]],"date-time":"2021-08-18T21:19:23Z","timestamp":1629321563000},"page":"1-26","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":25,"title":["Constraint-Objective Cooperative Coevolution for Large-scale Constrained Optimization"],"prefix":"10.1145","volume":"1","author":[{"given":"Peilan","family":"Xu","sequence":"first","affiliation":[{"name":"University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenjian","family":"Luo","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Lin","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiajia","family":"Zhang","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingying","family":"Qiao","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuan","family":"Wang","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,8,18]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC\u201916)","author":"Adan","unstructured":"Adan E. 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Coupled aeropropulsive design optimisation of a boundary-layer ingestion propulsor. Aeronaut. J. 123, 1259 (2019), 121\u2013137.","journal-title":"Aeronaut. J."},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/645825.668947"},{"key":"e_1_2_1_10_1","first-page":"50","article-title":"Differentially private distributed constrained optimization","volume":"62","author":"Han Shuo","year":"2016","unstructured":"Shuo Han , Ufuk Topcu , and George J. Pappas . 2016 . Differentially private distributed constrained optimization . IEEE Trans. Automat. Contr. 62 , 1 (2016), 50 \u2013 64 . Shuo Han, Ufuk Topcu, and George J. Pappas. 2016. Differentially private distributed constrained optimization. IEEE Trans. Automat. Contr. 62, 1 (2016), 50\u201364.","journal-title":"IEEE Trans. Automat. 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Large-scale multidisciplinary design optimization: Review and recommendations. In AIAA Aviation 2019 Forum . 3106. John T. Hwang, Arnav V. Jain, and Tae H. Ha. 2019. Large-scale multidisciplinary design optimization: Review and recommendations. In AIAA Aviation 2019 Forum. 3106."},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.2514\/1.A32751"},{"key":"e_1_2_1_16_1","volume-title":"Proceedings of the Conference on Modeling and Optimization: Theory and Applications (MOPTA\u201908)","author":"Jones Donald R.","year":"2008","unstructured":"Donald R. Jones . 2008 . Large-scale multi-disciplinary mass optimization in the auto industry . In Proceedings of the Conference on Modeling and Optimization: Theory and Applications (MOPTA\u201908) . 1\u201358. Donald R. Jones. 2008. Large-scale multi-disciplinary mass optimization in the auto industry. In Proceedings of the Conference on Modeling and Optimization: Theory and Applications (MOPTA\u201908). 1\u201358."},{"key":"e_1_2_1_17_1","volume-title":"Proceedings of the 56th AIAA\/ASCE\/AHS\/ASC Structures, Structural Dynamics, and Materials Conference. 0136","author":"Kao Jason","unstructured":"Jason Kao , John Hwang , Joaquim Martins , Justin S. Gray , and Kenneth T. Moore . 2015. A modular adjoint approach to aircraft mission analysis and optimization . In Proceedings of the 56th AIAA\/ASCE\/AHS\/ASC Structures, Structural Dynamics, and Materials Conference. 0136 . Jason Kao, John Hwang, Joaquim Martins, Justin S. Gray, and Kenneth T. Moore. 2015. A modular adjoint approach to aircraft mission analysis and optimization. In Proceedings of the 56th AIAA\/ASCE\/AHS\/ASC Structures, Structural Dynamics, and Materials Conference. 0136."},{"key":"e_1_2_1_18_1","volume-title":"Benchmark Functions for the CEC 2013 Special Session and Competition on Large-scale Global Optimization. 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School of Computer Science and Information Technology, RMIT University, Melbourne, Australia and School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China and National University of Defense Technology, Changsha, China, Technical Report (2013)."},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2011.2112662"},{"key":"e_1_2_1_20_1","volume-title":"Proceedings of the IEEE Congress on Evolutionary Computation (CEC\u201901)","volume":"2","author":"Liu Yong","year":"2001","unstructured":"Yong Liu , Xin Yao , Qiangfu Zhao , and Tetsuya Higuchi . 2001 . Scaling up fast evolutionary programming with cooperative coevolution . In Proceedings of the IEEE Congress on Evolutionary Computation (CEC\u201901) , Vol. 2 . IEEE, 1101\u20131108. Yong Liu, Xin Yao, Qiangfu Zhao, and Tetsuya Higuchi. 2001. Scaling up fast evolutionary programming with cooperative coevolution. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC\u201901), Vol. 2. IEEE, 1101\u20131108."},{"key":"e_1_2_1_21_1","volume-title":"Proceedings of the Simulated Evolution and Learning. 981\u2013993","author":"Luo Wenjian","year":"2017","unstructured":"Wenjian Luo , Bin Yang , Chenyang Bu , and Xin Lin . 2017 . A hybrid particle swarm optimization for high-dimensional dynamic optimization . In Proceedings of the Simulated Evolution and Learning. 981\u2013993 . Wenjian Luo, Bin Yang, Chenyang Bu, and Xin Lin. 2017. A hybrid particle swarm optimization for high-dimensional dynamic optimization. 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IEEE, 1\u20138."},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2001576.2001727"},{"key":"e_1_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2694221"},{"key":"e_1_2_1_33_1","volume-title":"Proceedings of the IEEE Congress on Evolutionary Computation (CEC\u201916)","author":"Peng Chen","year":"2016","unstructured":"Chen Peng and Qing Hui . 2016 . Comparison of differential grouping and random grouping methods on sCCPSO for large-scale constrained optimization . In Proceedings of the IEEE Congress on Evolutionary Computation (CEC\u201916) . IEEE, 2057\u20132063. Chen Peng and Qing Hui. 2016. Comparison of differential grouping and random grouping methods on sCCPSO for large-scale constrained optimization. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC\u201916). IEEE, 2057\u20132063."},{"key":"e_1_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/HICSS.2016.727"},{"key":"e_1_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.5555\/645822.670374"},{"key":"e_1_2_1_36_1","volume-title":"Amitay Isaacs, and Warren Smith.","author":"Ray Tapabrata","year":"2009","unstructured":"Tapabrata Ray , Hemant Kumar Singh , Amitay Isaacs, and Warren Smith. 2009 . Infeasibility driven evolutionary algorithm for constrained optimization. In Constraint-Handling in Evolutionary Optimization. Springer , 145\u2013165. Tapabrata Ray, Hemant Kumar Singh, Amitay Isaacs, and Warren Smith. 2009. Infeasibility driven evolutionary algorithm for constrained optimization. In Constraint-Handling in Evolutionary Optimization. Springer, 145\u2013165."},{"key":"e_1_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1080\/0305215X.2013.765000"},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/4235.873238"},{"key":"e_1_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1016\/0098-1354(94)00097-2"},{"key":"e_1_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/0303-2647(96)01621-8"},{"key":"e_1_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.10.035"},{"key":"e_1_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-28270-1_17"},{"key":"e_1_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2778089"},{"key":"e_1_2_1_44_1","volume-title":"Proceedings of the 2019 IEEE Congress on Evolutionary Computation (CEC\u201919)","author":"Sun Yuan","year":"2019","unstructured":"Yuan Sun , Xiaodong Li , Andreas Ernst , and Mohammad Nabi Omidvar . 2019 . Decomposition for Large-scale Optimization Problems with Overlapping Components . In Proceedings of the 2019 IEEE Congress on Evolutionary Computation (CEC\u201919) . IEEE, 326\u2013333. Yuan Sun, Xiaodong Li, Andreas Ernst, and Mohammad Nabi Omidvar. 2019. Decomposition for Large-scale Optimization Problems with Overlapping Components. In Proceedings of the 2019 IEEE Congress on Evolutionary Computation (CEC\u201919). IEEE, 326\u2013333."},{"key":"e_1_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3205455.3205483"},{"key":"e_1_2_1_46_1","volume-title":"Advances in Differential Evolution","author":"Takahama Tetsuyuki","unstructured":"Tetsuyuki Takahama and Setsuko Sakai . 2008. Constrained optimization by constrained differential evolution with dynamic -level control . In Advances in Differential Evolution . Springer , 139\u2013154. Tetsuyuki Takahama and Setsuko Sakai. 2008. Constrained optimization by constrained differential evolution with dynamic -level control. In Advances in Differential Evolution. Springer, 139\u2013154."},{"key":"e_1_2_1_47_1","volume-title":"Proceedings of the IEEE Congress on Evolutionary Computation. IEEE, 1\u20139.","author":"Takahama Tetsuyuki","year":"2010","unstructured":"Tetsuyuki Takahama and Setsuko Sakai . 2010 . Constrained optimization by the constrained differential evolution with an archive and gradient-based mutation . In Proceedings of the IEEE Congress on Evolutionary Computation. IEEE, 1\u20139. Tetsuyuki Takahama and Setsuko Sakai. 2010. Constrained optimization by the constrained differential evolution with an archive and gradient-based mutation. In Proceedings of the IEEE Congress on Evolutionary Computation. IEEE, 1\u20139."},{"key":"e_1_2_1_48_1","volume-title":"Test Problems for Partially Separable Optimization and Results for the Routine PSPMIN","author":"Toint Ph L.","year":"1983","unstructured":"Ph L. Toint . 1983. Test Problems for Partially Separable Optimization and Results for the Routine PSPMIN . The University of Namur , Department of Mathematics, Belgium, Technical Report ( 1983 ). Ph L. Toint. 1983. Test Problems for Partially Separable Optimization and Results for the Routine PSPMIN. The University of Namur, Department of Mathematics, Belgium, Technical Report (1983)."},{"key":"e_1_2_1_49_1","volume-title":"Proceedings of the IEEE Congress on Evolutionary Computation (CEC\u201917)","author":"Trivedi Anupam","year":"2017","unstructured":"Anupam Trivedi , Krishnendu Sanyal , Pranjal Verma , and Dipti Srinivasan . 2017 . A unified differential evolution algorithm for constrained optimization problems . In Proceedings of the IEEE Congress on Evolutionary Computation (CEC\u201917) . IEEE, 1231\u20131238. Anupam Trivedi, Krishnendu Sanyal, Pranjal Verma, and Dipti Srinivasan. 2017. A unified differential evolution algorithm for constrained optimization problems. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC\u201917). IEEE, 1231\u20131238."},{"key":"e_1_2_1_50_1","volume-title":"Proceedings of the IEEE Congress on Evolutionary Computation (CEC\u201918)","author":"Trivedi Anupam","year":"2018","unstructured":"Anupam Trivedi , Dipti Srinivasan , and Nimagna Biswas . 2018 . An improved unified differential evolution algorithm for constrained optimization problems . In Proceedings of the IEEE Congress on Evolutionary Computation (CEC\u201918) . 1\u201310. Anupam Trivedi, Dipti Srinivasan, and Nimagna Biswas. 2018. An improved unified differential evolution algorithm for constrained optimization problems. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC\u201918). 1\u201310."},{"key":"e_1_2_1_51_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.compag.2018.08.031","article-title":"Interactive livestock feed ration optimization using evolutionary algorithms","volume":"155","author":"Uyeh Daniel Dooyum","year":"2018","unstructured":"Daniel Dooyum Uyeh , Rammohan Mallipeddi , Trinadh Pamulapati , Tusan Park , Junhee Kim , Seungmin Woo , and Yushin Ha . 2018 . Interactive livestock feed ration optimization using evolutionary algorithms . Comput. Electr. Agricult. 155 (2018), 1 \u2013 11 . Daniel Dooyum Uyeh, Rammohan Mallipeddi, Trinadh Pamulapati, Tusan Park, Junhee Kim, Seungmin Woo, and Yushin Ha. 2018. Interactive livestock feed ration optimization using evolutionary algorithms. Comput. Electr. Agricult. 155 (2018), 1\u201311.","journal-title":"Comput. Electr. Agricult."},{"key":"e_1_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2004.826069"},{"key":"e_1_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-012-1274-4"},{"key":"e_1_2_1_54_1","volume-title":"Problem Definitions and Evaluation Criteria for the CEC 2017 Competition on Constrained Real-parameter Optimization","author":"Wu Guohua","year":"2017","unstructured":"Guohua Wu , R. Mallipeddi , and P. N. Suganthan . 2017 . Problem Definitions and Evaluation Criteria for the CEC 2017 Competition on Constrained Real-parameter Optimization . National University of Defense Technology, Changsha, Hunan, PR China and Kyungpook National University, Daegu, South Korea and Nanyang Technological University, Singapore, Technical Report ( 2017 ). Guohua Wu, R. Mallipeddi, and P. N. Suganthan. 2017. Problem Definitions and Evaluation Criteria for the CEC 2017 Competition on Constrained Real-parameter Optimization. National University of Defense Technology, Changsha, Hunan, PR China and Kyungpook National University, Daegu, South Korea and Nanyang Technological University, Singapore, Technical Report (2017)."},{"key":"e_1_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2008.02.017"},{"key":"e_1_2_1_56_1","doi-asserted-by":"crossref","unstructured":"D. Yazdani M. N. Omidvar J. Branke T. T. Nguyen and X. Yao. 2019. Scaling Up Dynamic Optimization Problems: A Divide-and-Conquer Approach. IEEE Trans. Evol. Comput. (2019).  D. Yazdani M. N. Omidvar J. Branke T. T. Nguyen and X. Yao. 2019. Scaling Up Dynamic Optimization Problems: A Divide-and-Conquer Approach. IEEE Trans. Evol. Comput. 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