{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T03:26:35Z","timestamp":1762917995774,"version":"3.40.5"},"reference-count":90,"publisher":"Cambridge University Press (CUP)","issue":"9","license":[{"start":{"date-parts":[[2019,3,1]],"date-time":"2019-03-01T00:00:00Z","timestamp":1551398400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Robotica"],"published-print":{"date-parts":[[2019,9]]},"abstract":"<jats:title>Summary<\/jats:title><jats:p>This paper presents a modified genetic algorithm (GA) using a new crossover operator (ADX) and a novel statistic correlation mutation algorithm (CAM). Both ADX and CAM work with population information to improve existing individuals of the GA and increase the exploration potential via the correlation mutation. Solution-based methods offer better local improvement of already known solutions while lacking at exploring the whole search space; in contrast, evolutionary algorithms provide better global search in exchange of exploitation power. Hybrid methods are widely used for constrained optimization problems due to increased global and local search capabilities. The modified GA improves results of constrained problems by balancing the exploitation and exploration potential of the algorithm. The conducted tests present average performance for various CEC\u20192015 benchmark problems, while offering better reliability and superior results on path planning problem for redundant manipulator and most of the constrained engineering design problems tested compared with current works in the literature and classic optimization algorithms.<\/jats:p>","DOI":"10.1017\/s026357471900016x","type":"journal-article","created":{"date-parts":[[2019,3,1]],"date-time":"2019-03-01T10:03:21Z","timestamp":1551434601000},"page":"1595-1640","source":"Crossref","is-referenced-by-count":11,"title":["CAM-ADX: A New Genetic Algorithm with Increased Intensification and Diversification for Design Optimization Problems with Real Variables"],"prefix":"10.1017","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2305-8873","authenticated-orcid":false,"given":"Edson Koiti Kudo","family":"Yasojima","sequence":"first","affiliation":[]},{"given":"Roberto C\u00e9lio Lim\u00e3o","family":"de Oliveira","sequence":"additional","affiliation":[]},{"given":"Ot\u00e1vio Noura","family":"Teixeira","sequence":"additional","affiliation":[]},{"given":"Rodrigo Lisb\u00f4a","family":"Pereira","sequence":"additional","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2019,3,1]]},"reference":[{"key":"S026357471900016X_ref88","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-011-0241-y"},{"key":"S026357471900016X_ref86","doi-asserted-by":"publisher","DOI":"10.1115\/1.2919393"},{"key":"S026357471900016X_ref83","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/568098"},{"key":"S026357471900016X_ref79","doi-asserted-by":"publisher","DOI":"10.1115\/1.3258721"},{"key":"S026357471900016X_ref78","doi-asserted-by":"publisher","DOI":"10.1016\/j.cnsns.2010.01.009"},{"key":"S026357471900016X_ref76","doi-asserted-by":"publisher","DOI":"10.1080\/03052150212723"},{"key":"S026357471900016X_ref71","first-page":"319","article-title":"Solving engineering optimization problem with the simple constrained particle swarm optimizer","volume":"32","author":"Cagnina","year":"2008","journal-title":"Informatica"},{"key":"S026357471900016X_ref69","doi-asserted-by":"publisher","DOI":"10.1080\/03052150410001704854"},{"volume-title":"Introduction to Optimum Design","year":"1989","author":"Arora","key":"S026357471900016X_ref64"},{"key":"S026357471900016X_ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2005.09.001"},{"key":"S026357471900016X_ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.compstruc.2012.07.010"},{"key":"S026357471900016X_ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.cma.2013.10.019"},{"key":"S026357471900016X_ref52","doi-asserted-by":"publisher","DOI":"10.1080\/03052150701364022"},{"key":"S026357471900016X_ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2012.01.008"},{"key":"S026357471900016X_ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-017-1294-6"},{"key":"S026357471900016X_ref77","doi-asserted-by":"publisher","DOI":"10.1115\/1.1876436"},{"key":"S026357471900016X_ref46","doi-asserted-by":"crossref","first-page":"1567","DOI":"10.1016\/j.amc.2006.11.033","article-title":"An improved harmony search algorithm for solving optimization problems","volume":"188","author":"Mahdavi","year":"2007","journal-title":"Appl. Math. Comput."},{"key":"S026357471900016X_ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-016-3493-0"},{"volume-title":"A Study of Mathematical Programming Methods for Structural Optimization","year":"1982","author":"Belegundu","key":"S026357471900016X_ref39"},{"key":"S026357471900016X_ref40","doi-asserted-by":"publisher","DOI":"10.1016\/0022-2569(70)90064-9"},{"key":"S026357471900016X_ref38","doi-asserted-by":"crossref","first-page":"2013","DOI":"10.2514\/3.10834","article-title":"Optimal design of a welded beam via genetic algorithms","volume":"29","author":"Deb","year":"1991","journal-title":"AIAA J"},{"key":"S026357471900016X_ref36","first-page":"14","article-title":"Continuous genetic algorithms for collision-free cartesian path planning of robot manipulators","volume":"8","author":"Abo-Hammour","year":"2011","journal-title":"Int. J. Adv. Rob. Syst."},{"key":"S026357471900016X_ref35","first-page":"1","article-title":"Solution of inverse kinematics problem using genetic algorithms","volume":"10","author":"Momani","year":"2015","journal-title":"Appl. Math. Inf. Sci."},{"volume-title":"Engineering Optimization: Theory and Practice","year":"1996","author":"Rao","key":"S026357471900016X_ref59"},{"key":"S026357471900016X_ref34","unstructured":"34. A. Al-Dujaili , K. Subramanian and S. Suresh , \u201cHumancog: A cognitive architecture for solving optimization problems,\u201d 2015 IEEE Congress on Evolutionary Computation, Sendai, Japan (2015) pp. 3220\u20133227."},{"key":"S026357471900016X_ref31","unstructured":"31. J. L. Rueda and I. Erlich , \u201cMVMO for bound constrained single-objective computationally expensive numerical optimization,\u201d 2015 IEEE Congress on evolutionary Computation, Sendai, Japan (2015) pp. 1011\u20131017."},{"volume-title":"Encyclopedia of Measurement and Statistics","year":"2007","author":"Abdi","key":"S026357471900016X_ref29"},{"volume-title":"Rank Correlation Methods","year":"1955","author":"Kendall","key":"S026357471900016X_ref28"},{"key":"S026357471900016X_ref27","first-page":"37","article-title":"Iterated function system-based crossover operation for real-coded genetic algorithm","volume":"7","author":"Ling","year":"2015","journal-title":"J. Intell. Learn. Syst. Appl."},{"key":"S026357471900016X_ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.09.036"},{"key":"S026357471900016X_ref22","first-page":"1","article-title":"Optimization and application of single point crossover and multi offspring genetic algorithm","volume":"9","author":"Li","year":"2016","journal-title":"Int. J. Hybrid Inf. Technol."},{"key":"S026357471900016X_ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.01.026"},{"volume-title":"Special Session on Evolutionary Computation (ROPEC)","year":"2014","author":"Cervantes-Castilho","key":"S026357471900016X_ref20"},{"key":"S026357471900016X_ref75","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-010-0393-4"},{"key":"S026357471900016X_ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2010.2046173"},{"key":"S026357471900016X_ref16","unstructured":"16. D. Curran , C. O\u2019Riordan and H. Sorensen , \u201cThe effects of lifetime learning on the diversity and fitness of populations,\u201d Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation, London, UK (2007) p. 337."},{"key":"S026357471900016X_ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2014.08.025"},{"key":"S026357471900016X_ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2480741.2480752"},{"key":"S026357471900016X_ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2014.10.004"},{"key":"S026357471900016X_ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s40430-016-0552-4"},{"key":"S026357471900016X_ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2012.09.015"},{"key":"S026357471900016X_ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2015.05.001"},{"key":"S026357471900016X_ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.07.034"},{"key":"S026357471900016X_ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2018.06.036"},{"key":"S026357471900016X_ref4","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1016\/j.amc.2015.11.001","article-title":"A hybrid PSO-GA algorithm for constrained optimization problems","volume":"274","author":"Garg","year":"2016","journal-title":"Appl. Math. Comput."},{"key":"S026357471900016X_ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-84996-129-5"},{"key":"S026357471900016X_ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-07418-3"},{"key":"S026357471900016X_ref89","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-03423-1_27"},{"key":"S026357471900016X_ref19","first-page":"115","article-title":"Simulated binary crossover for continuous search space","volume":"9","author":"Deb","year":"1995","journal-title":"Complex Syst."},{"key":"S026357471900016X_ref26","unstructured":"26. Y. Kaya , M. Uyar and R. Tekin , \u201cA novel crossover for genetic algorithm: Ring crossover,\u201d CoRR http:\/\/arxiv.org\/abs\/1105.0355 (2011)."},{"key":"S026357471900016X_ref90","first-page":"611","article-title":"Engineering optimization with hybrid particle swarm and ant colony optimization","volume":"10","author":"Kaveh","year":"2009","journal-title":"Asian J. Civil Eng. (Build. Hous.)"},{"key":"S026357471900016X_ref72","doi-asserted-by":"publisher","DOI":"10.1108\/02644401011008577"},{"key":"S026357471900016X_ref25","unstructured":"25. Z.-Q. Chen and Y.-F. Yin , \u201cA new crossover operator for real-coded genetic algorithm with selective breeding based on difference between individuals,\u201d 8th International Conference on Natural Computation (ICNC), Chongqing, Sichuan, China (2012)."},{"key":"S026357471900016X_ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s10898-005-3693-z"},{"key":"S026357471900016X_ref3","doi-asserted-by":"publisher","DOI":"10.3934\/jimo.2014.10.777"},{"key":"S026357471900016X_ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2017.10.052"},{"key":"S026357471900016X_ref63","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1080\/0305215X.2011.598520","article-title":"A constrained optimization algorithm based on the simplex search method","volume":"44","author":"Mehta","year":"2012","journal-title":"Eng. Optim."},{"key":"S026357471900016X_ref70","doi-asserted-by":"publisher","DOI":"10.1080\/03081070701303470"},{"key":"S026357471900016X_ref81","doi-asserted-by":"publisher","DOI":"10.1115\/1.4001206"},{"key":"S026357471900016X_ref30","unstructured":"30. Q. Chen , B. Liu , Q. Zhang , J. J. Liang , P. N. Suganthan and B. Y. Qu , \u201cProblem definitions and evaluation criteria for CEC 2015 special session on bound constrained single-objective computationally expensive numerical optimization,\u201d IEEE Conference on Evolutionary Computation, Sendai, Japan (2015)."},{"key":"S026357471900016X_ref15","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1007\/s00500-002-0235-1","article-title":"A novel approach in parameter adaptation and diversity maintenance for genetic algorithms","volume":"7","author":"Wong","year":"2003","journal-title":"Soft Comput."},{"key":"S026357471900016X_ref74","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.06.044"},{"key":"S026357471900016X_ref43","unstructured":"43. S. A. Amanchi , Applied Nonparametric Statistical Tests to Compare Evolutionary and Swarm Intelligence Approaches (Master of Science, Department of Computer Science, North Dakota State University, Fargo, North Dakota, USA, 2014)."},{"volume-title":"Mathematical Problems in Engineering","year":"2013","author":"Lin","key":"S026357471900016X_ref84"},{"key":"S026357471900016X_ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2018.04.021"},{"key":"S026357471900016X_ref68","unstructured":"68. X. H. Hu , R. C. Eberhart and Y. H. Shi , \u201cEngineering optimization with particle swarm,\u201d Proceedings of the 2003 IEEE Swarm Intelligence Symposium, Indianapolis, Indiana, USA (2003) pp. 53\u201357."},{"key":"S026357471900016X_ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2012.11.026"},{"key":"S026357471900016X_ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.12.045"},{"key":"S026357471900016X_ref80","doi-asserted-by":"publisher","DOI":"10.1007\/s00158-006-0077-z"},{"key":"S026357471900016X_ref32","unstructured":"32. M. Andersson , S. Bandaru , A. Ng and A. Syberfeldt , \u201cParameter tuned CMA-ES on the CEC\u201915 expensive problems,\u201d 2015 IEEE Congress on Evolutionary Computation, Sendai, Japan (2015) pp. 1950\u20131957."},{"key":"S026357471900016X_ref82","first-page":"1101","article-title":"Solving engineering optimization problems by a deterministic global optimization approach","volume":"6","author":"Lin","year":"2012","journal-title":"Appl. Math. Inf. Sci."},{"key":"S026357471900016X_ref33","unstructured":"33. M. R. Tanweer , S. Suresh and N. Sundararajan , \u201cImproved srpso algorithm for solving cec 2015 computationally expensive numerical optimization problems,\u201d 2015 IEEE Congress on Evolutionary Computation, Sendai, Japan (2015) pp. 1943\u20131949."},{"key":"S026357471900016X_ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2003.814902"},{"key":"S026357471900016X_ref51","doi-asserted-by":"publisher","DOI":"10.1007\/s00158-009-0454-5"},{"key":"S026357471900016X_ref42","doi-asserted-by":"publisher","DOI":"10.1162\/evco.1996.4.1.1"},{"key":"S026357471900016X_ref85","doi-asserted-by":"crossref","first-page":"1501","DOI":"10.1002\/nme.2451","article-title":"Accelerating adaptive trade-off model using shrinking space technique for constrained evolutionary optimization","volume":"77","author":"Wang","year":"2009","journal-title":"Int. Method Numer. Methods Eng."},{"key":"S026357471900016X_ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2008.02.014"},{"key":"S026357471900016X_ref37","unstructured":"37. E. Sandgren , \u201cNonlinear integer and discrete programming in mechanical design,\u201d Proceeding of the ASME Design Technology Conference, Kissimmee, Florida (1988), pp. 95\u2013105."},{"key":"S026357471900016X_ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.compstruc.2011.08.002"},{"key":"S026357471900016X_ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2006.03.003"},{"key":"S026357471900016X_ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.cma.2006.06.010"},{"key":"S026357471900016X_ref58","doi-asserted-by":"publisher","DOI":"10.1115\/1.3438995"},{"key":"S026357471900016X_ref65","doi-asserted-by":"publisher","DOI":"10.1016\/S0166-3615(99)00046-9"},{"key":"S026357471900016X_ref18","unstructured":"18. L. J. Eshelman and J. D. Schaffer , \u201cReal-coded genetic algorithms and interval-schemata,\u201d Proceedings of the Workshop on Foundations of Genetic Algorithms, Vail, Colorado, USA (1992) pp. 187\u2013202."},{"key":"S026357471900016X_ref73","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2009.01.039"},{"key":"S026357471900016X_ref60","doi-asserted-by":"publisher","DOI":"10.1016\/S0045-7825(99)00389-8"},{"key":"S026357471900016X_ref87","first-page":"30","article-title":"A combined genetic adaptive search (GeneAS) for engineering design","volume":"26","author":"Deb","year":"1996","journal-title":"Comput. Sci. Inf."},{"key":"S026357471900016X_ref67","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-0346(02)00011-3"},{"key":"S026357471900016X_ref66","doi-asserted-by":"publisher","DOI":"10.1080\/03052150108940941"},{"key":"S026357471900016X_ref23","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.ins.2016.01.046","article-title":"A novel adaptive hybrid crossover operator for multi objective evolutionary algorithm","volume":"345","author":"Zhu","year":"2016","journal-title":"Inf. Sci."}],"container-title":["Robotica"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S026357471900016X","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,12]],"date-time":"2022-09-12T21:57:48Z","timestamp":1663019868000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S026357471900016X\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,1]]},"references-count":90,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2019,9]]}},"alternative-id":["S026357471900016X"],"URL":"https:\/\/doi.org\/10.1017\/s026357471900016x","relation":{},"ISSN":["0263-5747","1469-8668"],"issn-type":[{"type":"print","value":"0263-5747"},{"type":"electronic","value":"1469-8668"}],"subject":[],"published":{"date-parts":[[2019,3,1]]}}}