{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T22:12:59Z","timestamp":1776204779826,"version":"3.50.1"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2017,3,27]],"date-time":"2017-03-27T00:00:00Z","timestamp":1490572800000},"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":["Appl Intell"],"published-print":{"date-parts":[[2017,9]]},"DOI":"10.1007\/s10489-017-0900-9","type":"journal-article","created":{"date-parts":[[2017,3,27]],"date-time":"2017-03-27T05:32:56Z","timestamp":1490592776000},"page":"409-429","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["A variant of environmental adaptation method with real parameter encoding and its application in economic load dispatch problem"],"prefix":"10.1007","volume":"47","author":[{"given":"Bhavna","family":"Sharma","sequence":"first","affiliation":[]},{"given":"Ravi","family":"Prakash","sequence":"additional","affiliation":[]},{"given":"Shailesh","family":"Tiwari","sequence":"additional","affiliation":[]},{"given":"K. K.","family":"Mishra","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,3,27]]},"reference":[{"key":"900_CR1","doi-asserted-by":"crossref","unstructured":"Mishra K, Shailesh Tiwari K, Misra AK (2011) A bio inspired algorithm for solving optimization problems. In: 2011 2nd International Conference on IEEE Computer and Communication Technology (ICCCT)","DOI":"10.1109\/ICCCT.2011.6075211"},{"issue":"4","key":"900_CR2","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"Rainer Storn","year":"1997","unstructured":"Storn Rainer, Price Kenneth (1997) Differential evolution\u2013a simple and efficient heuristic for global optimization over continuous spaces. J Global Optim 11(4):341\u2013359","journal-title":"J Global Optim"},{"issue":"2","key":"900_CR3","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1023\/A:1022602019183","volume":"3","author":"DE Goldberg","year":"1988","unstructured":"Goldberg DE, Holland JH (1988) Genetic algorithms and machine learning. Mach Learn 3(2):95\u201399","journal-title":"Mach Learn"},{"key":"900_CR4","doi-asserted-by":"crossref","unstructured":"Baldwin JM (1896) A new factor in evolution (Continued). Am Nat:536\u2013553","DOI":"10.1086\/276428"},{"key":"900_CR5","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1007\/978-3-642-34289-9_34","volume-title":"Computational Intelligence and Intelligent Systems","author":"KK Mishra","year":"2012","unstructured":"Mishra KK, Tiwari S, Misra AK (2012) Improved environmental adaption method for solving optimization problems. In: Computational Intelligence and Intelligent Systems. Springer, Berlin Heidelberg, pp 300\u2013313"},{"issue":"5","key":"900_CR6","doi-asserted-by":"crossref","first-page":"2305","DOI":"10.3233\/IFS-141195","volume":"27","author":"KK Mishra","year":"2014","unstructured":"Mishra KK, Tiwari S, Misra AK (2014) Improved environmental adaption method and its application in test case generation. Journal of Intelligent &, Fuzzy Systems: Applications in Engineering and Technology 27(5):2305\u20132317","journal-title":"Journal of Intelligent &, Fuzzy Systems: Applications in Engineering and Technology"},{"issue":"4","key":"900_CR7","doi-asserted-by":"crossref","first-page":"560","DOI":"10.1109\/TEVC.2014.2360890","volume":"19","author":"L Tang","year":"2015","unstructured":"Tang L, Dong Y, Liu J (2015) Differential evolution with an individual-dependent mechanism. IEEE Trans Evol Comput 19(4):560\u2013574","journal-title":"IEEE Trans Evol Comput"},{"key":"900_CR8","volume-title":"Differential evolution-a simple and efficient adaptive scheme for global optimization over continuous spaces, vol 3","author":"R Storn","year":"1995","unstructured":"Storn R, Price K (1995) Differential evolution-a simple and efficient adaptive scheme for global optimization over continuous spaces, vol 3. ICSI, Berkeley"},{"issue":"5","key":"900_CR9","doi-asserted-by":"crossref","first-page":"717","DOI":"10.1109\/TEVC.2014.2375933","volume":"19","author":"S-M Guo","year":"2014","unstructured":"Guo S-M, Yang C-C, Hsu P-H, Tsai JS-H (2014) Improving differential evolution with successful-parent-selecting framework. IEEE Trans Evol Comput 19(5):717\u2013730","journal-title":"IEEE Trans Evol Comput"},{"issue":"2","key":"900_CR10","doi-asserted-by":"crossref","first-page":"398","DOI":"10.1109\/TEVC.2008.927706","volume":"13","author":"A Qin","year":"2009","unstructured":"Qin A, Huang VL, Suganthan PN (2009) Differential evolution algorithm with strategy adaptation for global numerical optimization. IEEE Trans Evol Comput 13(2):398\u2013417","journal-title":"IEEE Trans Evol Comput"},{"issue":"2","key":"900_CR11","doi-asserted-by":"crossref","first-page":"1679","DOI":"10.1016\/j.asoc.2010.04.024","volume":"11","author":"R Mallipeddi","year":"2011","unstructured":"Mallipeddi R, Suganthan PN, Pan Q-K, Tasgetiren MF (2011) Differential evolution algorithm with ensemble of parameters and mutation strategies. Appl Soft Comput 11(2):1679\u20131696","journal-title":"Appl Soft Comput"},{"issue":"1","key":"900_CR12","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1109\/TEVC.2010.2087271","volume":"15","author":"Y Wang","year":"2011","unstructured":"Wang Y, Cai Z, Zhang Q (2011) Differential evolution with composite trial vector generation strategies and control parameters. IEEE Trans Evol Comput 15(1):55\u201366","journal-title":"IEEE Trans Evol Comput"},{"issue":"5","key":"900_CR13","doi-asserted-by":"crossref","first-page":"945","DOI":"10.1109\/TEVC.2009.2014613","volume":"13","author":"J Zhang","year":"2009","unstructured":"Zhang J, Sanderson AC (2009) Jade: adaptive differential evolution with optional external archive. IEEE Trans Evol Comput 13(5):945\u2013958","journal-title":"IEEE Trans Evol Comput"},{"key":"900_CR14","doi-asserted-by":"crossref","unstructured":"Kennedy, Eberhart RC (1995) Particle swarm optimization. In: Proceedings of the IEEE Interational Conference Neutral Network. Perth, Australia, vol 4, pp 1942\u20131948","DOI":"10.1109\/ICNN.1995.488968"},{"key":"900_CR15","doi-asserted-by":"crossref","unstructured":"Shi Y, Eberhart RC (1998) A modified particle swarm optimizer. In: Proceedings of the IEEE International Conference Evolutionary Computation, pp 69\u201373","DOI":"10.1109\/ICEC.1998.699146"},{"key":"900_CR16","doi-asserted-by":"crossref","unstructured":"Shi Y, Eberhart RC (1999) Empirical study of particle swarm optimization. In: Proceeding of the Congress on Evolutionary Computation, vol 3, p 19451950","DOI":"10.1109\/CEC.1999.785511"},{"issue":"3","key":"900_CR17","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1109\/TEVC.2004.826071","volume":"8","author":"A Ratnaweera","year":"2004","unstructured":"Ratnaweera A, Halgamuge SK, Watson HC (2004) Self organizing hierarchical particle swarm optimizer with Time-Varying acceleration coefficients. IEEE Trans Evol Comput 8(3):240\u2013255","journal-title":"IEEE Trans Evol Comput"},{"issue":"03","key":"900_CR18","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1142\/S1793005711001986","volume":"7","author":"M Pant","year":"2011","unstructured":"Pant M, Thangaraj R, Abraham A (2011) DE-PSO: a new hybrid meta-heuristic for solving global optimization problems. New Mathematics and Natural Computation 7(03):363\u2013381","journal-title":"New Mathematics and Natural Computation"},{"key":"900_CR19","unstructured":"Ingo R (1989) Evolution strategy: Nature\u2019s way of optimization. Optimization: Methods and applications, possibilities and limitations Springer Berlin Heidelberg:106\u2013126"},{"key":"900_CR20","unstructured":"Hansen N (2005) The CMA evolution strategy: a tutorial. Vu le 29"},{"key":"900_CR21","doi-asserted-by":"crossref","unstructured":"Hoffmeister F, B\u00e4ck T (1991) Genetic algorithms and evolution strategies. Similarities and differences. Springer, Berlin Heidelberg","DOI":"10.1007\/BFb0029787"},{"key":"900_CR22","doi-asserted-by":"crossref","unstructured":"Hansen N, M\u00fcller SD, Koumoutsakos P (2003) Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES). Evol Comput 11","DOI":"10.1162\/106365603321828970"},{"key":"900_CR23","doi-asserted-by":"crossref","unstructured":"Auger A, Hansen N (2005) A restart cma evolution strategy with increasing population size. In: IEEE Congress on Evolutionary Computation. IEEE Press, pp 1769\u20131776","DOI":"10.1109\/CEC.2005.1554902"},{"key":"900_CR24","doi-asserted-by":"crossref","unstructured":"Hansen N (2009) Benchmarking a BI-population CMA-ES on the BBOB- 2009 function testbed. In: GECCO Companion, pp 2389\u20132396","DOI":"10.1145\/1570256.1570333"},{"key":"900_CR25","doi-asserted-by":"crossref","unstructured":"Loshchilov I (2013) CMA-ES With restarts for solving CEC 2013 benchmark problems. 2013 IEEE Congress on Evolutionary Computation (CEC), Ieee","DOI":"10.1109\/CEC.2013.6557593"},{"key":"900_CR26","unstructured":"Hansen N, Auger A, Finck S, Ros R (2009) Real-parameter black-box optimization benchmarking 2009: experimental setup. Technical Report RR-6828. INRIA"},{"key":"900_CR27","unstructured":"Hansen N, Auger A, Finck S, Ros R (2010) Real-parameter black-box optimization benchmarking: Experimental setup. Technical Report RR-7215. INRIA:2010"},{"key":"900_CR28","unstructured":"Hansen N, Finck S, Ros R, Auger A (2009) Real-Parameter black-box optimization benchmarking 2009: noiseless functions definitions. INRIA Technical Report RR-6829"},{"key":"900_CR29","unstructured":"Finck S, Hansen N, Ros R, Auger A (February 2010) Real-parameter black-box optimization benchmarking 2009: Presentation of the noiseless functions. Technical Report 2009\/20, Research Center PPE, 2009 Updated"},{"key":"900_CR30","doi-asserted-by":"crossref","unstructured":"Po\u0161\u00edk P, Klem\u0161 V (2012) Benchmarking the differential evolution with adaptive encoding on noiseless functions. In: Proceedings of the 14th annual conference companion on Genetic and evolutionary computation. ACM","DOI":"10.1145\/2330784.2330813"},{"key":"900_CR31","doi-asserted-by":"crossref","unstructured":"Loshchilov I, Schoenauer M, Sebag M (2012) Alternative restart strategies for CMA-ES. Parallel Problem Solving from Nature-PPSN XII Springer Berlin Heidelberg:296\u2013305","DOI":"10.1007\/978-3-642-32937-1_30"},{"key":"900_CR32","doi-asserted-by":"crossref","unstructured":"Po\u0161\u00edk P, Klem\u0161 V (2012) Jade, an adaptive differential evolution algorithm, benchmarked on the bbob noiseless testbed. In: Proceedings of the 14th annual conference companion on Genetic and evolutionary computation. ACM","DOI":"10.1145\/2330784.2330814"},{"key":"900_CR33","doi-asserted-by":"crossref","unstructured":"P\u00e1l L (2013) Benchmarking a hybrid multi level single linkage algorithm on the bbob noiseless testbed. In: Proceedings of the 15th annual conference companion on Genetic and evolutionary computation. ACM","DOI":"10.1145\/2464576.2482692"},{"key":"900_CR34","doi-asserted-by":"crossref","unstructured":"El-Abd M, Kamel MS (2009) Black-box optimization benchmarking for noiseless function testbed using particle swarm optimization. In: Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers. ACM","DOI":"10.1145\/1570256.1570316"},{"key":"900_CR35","doi-asserted-by":"crossref","unstructured":"Garc\u00eda-Nieto J, Alba E, Apolloni J (2009) Noiseless functions black-box optimization: evaluation of a hybrid particle swarm with differential operators. In: Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers. ACM","DOI":"10.1145\/1570256.1570311"},{"key":"900_CR36","doi-asserted-by":"crossref","unstructured":"Kern S, Hansen N, Koumoutsakos P (2006) Local meta-models for optimization using evolution strategies. Parallel Problem Solving from Nature-PPSN IX Springer Berlin Heidelberg:939\u2013948","DOI":"10.1007\/11844297_95"},{"key":"900_CR37","doi-asserted-by":"crossref","unstructured":"Auger A, Brockhoff D, Hansen N, Brockhoff D, Hansen N (2013) Benchmarking the local metamodel CMA-ES on the noiseless BBOB\u20192013 test bed. In: Proceedings of the 15th annual conference companion on Genetic and evolutionary computation ACM","DOI":"10.1145\/2464576.2482701"},{"key":"900_CR38","doi-asserted-by":"crossref","unstructured":"Bajer L, Pitra Z, Hole\u0148a M (2015) Benchmarking gaussian processes and random forests surrogate models on the BBOB noiseless testbed. In: Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference. ACM","DOI":"10.1145\/2739482.2768468"},{"key":"900_CR39","doi-asserted-by":"crossref","unstructured":"Hansen N (2009) Benchmarking a BI-population CMA-ES on the BBOB-2009 function testbed. In: Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers. ACM","DOI":"10.1145\/1570256.1570333"},{"key":"900_CR40","doi-asserted-by":"crossref","unstructured":"Loshchilov I, Schoenauer M, Sebag M, Schoenauer M, Sebag M (2012) Self-adaptive surrogate-assisted covariance matrix adaptation evolution strategy. In: Proceedings of the 14th annual conference on Genetic and evolutionary computation. ACM","DOI":"10.1145\/2330163.2330210"},{"key":"900_CR41","doi-asserted-by":"crossref","unstructured":"Loshchilov I, Schoenauer M, Sebag M (2012) Black-box optimization benchmarking of IPOP-saACM-ES and BIPOP-saACM-ES on the BBOB-2012 noiseless testbed. In: Proceedings of the 14th annual conference companion on Genetic and evolutionary computation. ACM","DOI":"10.1145\/2330784.2330811"},{"key":"900_CR42","unstructured":"Munos R (2011) Optimistic optimization of deterministic functions without the knowledge of its smoothness. Adv Neural Inf Proces Syst"},{"issue":"4","key":"900_CR43","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1162\/EVCO_a_00084","volume":"20","author":"P Po\u0161\u00edk","year":"2012","unstructured":"Po\u0161\u00edk P, Huyer W, P\u00e1l L (2012) A comparison of global search algorithms for continuous black box optimization. Evol Comput 20(4):509\u2013541","journal-title":"Evol Comput"},{"key":"900_CR44","doi-asserted-by":"crossref","unstructured":"Holtschulte NJ, Moses M (2013) Benchmarking cellular genetic algorithms on the BBOB noiseless testbed. In: Proceedings of the 15th annual conference companion on Genetic and evolutionary computation. ACM","DOI":"10.1145\/2464576.2482699"},{"issue":"1","key":"900_CR45","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1109\/TEVC.2002.806788","volume":"7","author":"N Sinha","year":"2003","unstructured":"Sinha N, Chakrabarti R, Chattopadhyay PK (2003) Evolutionary programming techniques for economic load dispatch. IEEE Trans Evol Comput 7(1):83\u201394","journal-title":"IEEE Trans Evol Comput"},{"key":"900_CR46","doi-asserted-by":"crossref","unstructured":"Karthikeyan V, Senthilkumar S, Vijayalakshmi VJ (2013) A new approach to the solution of economic dispatch using particle swarm optimization with simulated annealing. arXiv: 1307.3014","DOI":"10.5121\/ijcsa.2013.3304"},{"issue":"2","key":"900_CR47","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1109\/TEVC.2011.2173577","volume":"17","author":"W-N Chen","year":"2013","unstructured":"Chen W-N, et al (2013) Particle swarm optimization with an aging leader and challengers. IEEE Trans Evol Comput 17(2):241\u2013258","journal-title":"IEEE Trans Evol Comput"},{"issue":"4","key":"900_CR48","doi-asserted-by":"crossref","first-page":"2006","DOI":"10.1109\/TPWRS.2005.857939","volume":"20","author":"D Liu","year":"2005","unstructured":"Liu D, Cai Y (2005) Taguchi method for solving the economic dispatch problem with nonsmooth cost functions. IEEE Trans Power Syst 20(4):2006\u20132014","journal-title":"IEEE Trans Power Syst"},{"issue":"2","key":"900_CR49","first-page":"526","volume":"46","author":"R Rahmani","year":"2012","unstructured":"Rahmani R, et al (2012) Solving economic dispatch problem using particle swarm optimization by an evolutionary technique for initializing particles. Journal of Theoretical and Applied Information Technology 46(2):526\u2013536","journal-title":"Journal of Theoretical and Applied Information Technology"},{"issue":"5","key":"900_CR50","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/j.ijepes.2007.08.001","volume":"30","author":"dos Santos Coelho","year":"2008","unstructured":"dos Santos Coelho (2008) Solving economic load dispatch problems in power systems using chaotic and Gaussian particle swarm optimization approaches. Int J Electr Power Energy Syst 30(5):297\u2013307, Lee, C-S","journal-title":"Int J Electr Power Energy Syst"},{"issue":"4","key":"900_CR51","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1016\/j.ijepes.2007.07.007","volume":"30","author":"R Roy","year":"2008","unstructured":"Roy R, Ghoshal SP (2008) A novel crazy swarm optimized economic load dispatch for various types of cost functions. Int J Electr Power Energy Syst 30(4):242\u2013253","journal-title":"Int J Electr Power Energy Syst"},{"key":"900_CR52","unstructured":"Dewangan SK, Jain A, Huddar AP A Traditional Approach to Solve Economic Load Dispatch Problem Considering the Generator Constraints. IOSR J Electron Electr Eng (IOSR-JEEE) e-ISSN: 2278-1676"},{"issue":"3","key":"900_CR53","doi-asserted-by":"crossref","first-page":"1187","DOI":"10.1109\/TPWRS.2003.814889","volume":"18","author":"Z-L Gaing","year":"2003","unstructured":"Gaing Z-L (2003) Particle swarm optimization to solving the economic dispatch considering the generator constraints. IEEE Trans Power Syst 18(3):1187\u20131195","journal-title":"IEEE Trans Power Syst"},{"issue":"1","key":"900_CR54","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.ijepes.2005.09.004","volume":"28","author":"DN Jeyakumar","year":"2006","unstructured":"Jeyakumar DN, Jayabarathi T, Raghunathan T (2006) Particle swarm optimization for various types of economic dispatch problems. Int J Electr Power Energy Syst 28(1):36\u201342","journal-title":"Int J Electr Power Energy Syst"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10489-017-0900-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-017-0900-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-017-0900-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,4]],"date-time":"2020-10-04T11:28:07Z","timestamp":1601810887000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10489-017-0900-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3,27]]},"references-count":54,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2017,9]]}},"alternative-id":["900"],"URL":"https:\/\/doi.org\/10.1007\/s10489-017-0900-9","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,3,27]]}}}