{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T21:45:13Z","timestamp":1729633513741,"version":"3.28.0"},"reference-count":24,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,5]]},"DOI":"10.1109\/cec.2015.7257204","type":"proceedings-article","created":{"date-parts":[[2015,9,14]],"date-time":"2015-09-14T21:22:46Z","timestamp":1442265766000},"page":"2565-2572","source":"Crossref","is-referenced-by-count":0,"title":["Search dynamics of fitness landscape learning evolutionary computation with two types of evolution control"],"prefix":"10.1109","author":[{"given":"Taku","family":"Hasegawa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naoki","family":"Mori","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tsukada","family":"Kento","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keinosuke","family":"Matsumoto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2002.800884"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/130385.130401"},{"key":"ref12","first-page":"1049","article-title":"ASAGA: An Adaptive Surrogate-Assisted Genetic Algorithm","author":"shi","year":"2005","journal-title":"Proceedings of the Genetic and Evolutionary Computation Conference"},{"key":"ref13","first-page":"98","article-title":"A Comparison Of Approximation Modeling Techniques: Polynomial Versus Interpolating Models; Technical Report","author":"giunta","year":"1998","journal-title":"AIAA"},{"key":"ref14","first-page":"99","article-title":"Response Surface and Neural Network Techniques for Rocket Engine Injector Optimization; Technical Report","author":"shyy","year":"1999","journal-title":"AIAA"},{"key":"ref15","article-title":"A comparison of polynomial approximations and artificial neural nets as response surfaces","volume":"2247","author":"carpenter","year":"1994","journal-title":"Technical Report 92 AIAA"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0887-3801(1994)8:3(345)"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2598394.2598496"},{"journal-title":"Genetic Algorithms in Search Optimization and Machine Learning","year":"1989","author":"goldberg","key":"ref18"},{"key":"ref19","first-page":"402","article-title":"Adaptation to a Dynamic Environment by Means of the Environment Identifying Genetic Algorithm","volume":"112 c","author":"mori","year":"2002","journal-title":"T IEE Japan"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/5.949485"},{"journal-title":"The Blind Watchmaker","year":"1986","author":"dawkins","key":"ref3"},{"journal-title":"Flannery Numerical Recipes in C The art of Scientific Computing","year":"1992","author":"press","key":"ref6"},{"key":"ref5","first-page":"3","volume":"9","author":"jin","year":"2005","journal-title":"A comprehensive survey of fitness approximation in evolutionary computation Soft Computing"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1007\/BFb0056852","article-title":"Accelerating the convergence of evolutionary algorithms by fitness landscape approximation","author":"ratle","year":"1998","journal-title":"Parallel Problem Solving from Nature V"},{"key":"ref7","first-page":"172","article-title":"Evolutionary Search of Approximated N-Dimensional Landscapes","volume":"4","author":"liang","year":"2000","journal-title":"International Journal of Know ledge-Based Intel ligent Engineering Systems"},{"journal-title":"GenJam A Genetic Algorithm for Generating Jazz Solos the 1994 International Computer Music Conference IGMA","year":"1994","author":"biles","key":"ref2"},{"journal-title":"Evolution and Optimum Seeking","year":"1995","author":"schwefel","key":"ref1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2005.855506"},{"key":"ref20","first-page":"786","article-title":"On Evolutionary Optimization with Approximate Fitness Functions","author":"jin","year":"2005","journal-title":"Proceedings of the Genetic and Evolutionary Computation Conference"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/3-540-45014-9_1","article-title":"Dietterich: Ensemble Methods in Machine Learning","volume":"1857","author":"thomas","year":"2000","journal-title":"Lecture Notes in Computer Science"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.1999.785531"},{"key":"ref24","first-page":"197","volume":"5","author":"schapire","year":"1990","journal-title":"The strength of weak learnability Machine Learning"},{"key":"ref23","first-page":"123","volume":"24","author":"breiman","year":"1996","journal-title":"Bagging Predictors Machine Learning"}],"event":{"name":"2015 IEEE Congress on Evolutionary Computation (CEC)","start":{"date-parts":[[2015,5,25]]},"location":"Sendai, Japan","end":{"date-parts":[[2015,5,28]]}},"container-title":["2015 IEEE Congress on Evolutionary Computation (CEC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7229815\/7256859\/07257204.pdf?arnumber=7257204","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,23]],"date-time":"2017-06-23T19:31:45Z","timestamp":1498246305000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7257204\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,5]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/cec.2015.7257204","relation":{},"subject":[],"published":{"date-parts":[[2015,5]]}}}