{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T20:40:04Z","timestamp":1761597604845},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2015,5,15]],"date-time":"2015-05-15T00:00:00Z","timestamp":1431648000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2015,12]]},"DOI":"10.1007\/s00500-015-1687-4","type":"journal-article","created":{"date-parts":[[2015,5,14]],"date-time":"2015-05-14T07:00:19Z","timestamp":1431586819000},"page":"3647-3663","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Hybrid achievement oriented computational chemotaxis in bacterial foraging optimization: a comparative study on numerical benchmark"],"prefix":"10.1007","volume":"19","author":[{"given":"Y. Emre","family":"Y\u0131ld\u0131z","sequence":"first","affiliation":[]},{"given":"O\u011fuz","family":"Altun","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,5,15]]},"reference":[{"key":"1687_CR1","doi-asserted-by":"crossref","unstructured":"Abraham A et al (2008) Analysis of reproduction operator in bacterial foraging optimization algorithm. In: Evolutionary computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on. IEEE, pp 1476\u20131483","DOI":"10.1109\/CEC.2008.4630988"},{"key":"1687_CR2","doi-asserted-by":"crossref","unstructured":"B\u00e4ck T, Schwefel HP (1993) An overview of evolutionary algorithms for parameter optimization. Evol Comput 1(1):1\u201323. doi: 10.1162\/evco.1993.1.1.1 . ISSN: 1063\u20136560","DOI":"10.1162\/evco.1993.1.1.1"},{"key":"1687_CR3","doi-asserted-by":"crossref","unstructured":"Biswas A et al (2007b) Synergy of PSO and bacterial foraging optimization\u2014a comparative study on numerical benchmarks. In: Innovations in hybrid intelligent systems. Springer, Berlin, pp 255\u2013263","DOI":"10.1007\/978-3-540-74972-1_34"},{"issue":"6","key":"1687_CR4","first-page":"607","volume":"17","author":"A Biswas","year":"2007","unstructured":"Biswas A et al (2007a) A synergy of differential evolution and bacterial foraging optimization for global optimization. Neural Netw World 17(6):607","journal-title":"Neural Netw World"},{"key":"1687_CR5","doi-asserted-by":"crossref","unstructured":"Biswas A et al (2010) Stability analysis of the reproduction operator in bacterial foraging optimization. Theor Comput Sci 411(21):2127\u20132139. doi: 10.1016\/j.tcs.2010.03.005 . ISSN: 03043975","DOI":"10.1016\/j.tcs.2010.03.005"},{"key":"1687_CR6","doi-asserted-by":"crossref","unstructured":"\u010crepin\u0161ek M, Liu SH, Mernik M (2013) Exploration and exploitation in evolutionary algorithms: a survey. ACM Comput Surv 45(3):1\u201333. doi: 10.1145\/2480741.2480752 . ISSN: 03600300","DOI":"10.1145\/2480741.2480752"},{"key":"1687_CR7","doi-asserted-by":"crossref","unstructured":"Das S et al (2009) On stability of the chemotactic dynamics in bacterial-foraging optimization algorithm. IEEE Trans Syst Man Cybern Part A Syst Humans 39(3):670\u2013679. doi: 10.1109\/TSMCA.2008.2011474 . ISSN: 1083\u20134427","DOI":"10.1109\/TSMCA.2008.2011474"},{"issue":"4","key":"1687_CR8","doi-asserted-by":"crossref","first-page":"919","DOI":"10.1109\/TEVC.2009.2021982","volume":"13","author":"S Dasgupta","year":"2009","unstructured":"Dasgupta S et al (2009) Adaptive computational chemotaxis in bacterial foraging optimization: an analysis. IEEE Trans Evol Comput 13(4):919\u2013941. doi: 10.1109\/TEVC.2009.2021982 Issn: 1089\u2013778X","journal-title":"IEEE Trans Evol Comput"},{"issue":"1","key":"1687_CR9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/BF01530777","volume":"5","author":"KA Jong De","year":"1992","unstructured":"De Jong KA, Spears WM (1992) A formal analysis of the role of multi-point crossover in genetic algorithms. Ann Math Artif Intell 5(1):1\u201326","journal-title":"Ann Math Artif Intell"},{"issue":"1","key":"1687_CR10","doi-asserted-by":"crossref","first-page":"35","DOI":"10.3233\/FI-1998-35123403","volume":"35","author":"AE Eiben","year":"1998","unstructured":"Eiben AE, Schippers CA (1998) On evolutionary exploration and exploitation. Fundam Informaticae 35(1):35\u201350","journal-title":"Fundam Informaticae"},{"key":"1687_CR11","doi-asserted-by":"crossref","unstructured":"Hu Z, Bao Y, Xiong T (2014) Partial opposition-based adaptive differential evolution algorithms: evaluation on the CEC 2014 benchmark set for real-parameter optimization. In: Evolutionary computation (CEC), 2014 IEEE Congress on. IEEE, pp 2259\u20132265","DOI":"10.1109\/CEC.2014.6900489"},{"key":"1687_CR12","doi-asserted-by":"crossref","unstructured":"Jarraya Y et al (2013) A hybrid computational chemotaxis in bacterial foraging optimization algorithm for global numerical optimization. In: Cybernetics (CYBCONF), 2013 IEEE international conference on IEEE, pp 213\u2013218","DOI":"10.1109\/CYBConf.2013.6617428"},{"key":"1687_CR13","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1007\/978-0-387-30164-8_630","volume-title":"Encyclopedia of machine learning","author":"J Kennedy","year":"2011","unstructured":"Kennedy J (2011) Particle swarm optimization. In: Sammut C, Webb GI (eds) Encyclopedia of machine learning. Springer, US, pp 760\u2013766 Isbn: 978-0-387-30768-8, 978-0-387-30164-8"},{"key":"1687_CR14","unstructured":"Kim DH, Cho JH (2005) Bacterial foraging based neural network fuzzy learning. In: Proc in IICAI, pp 2030\u20132036"},{"issue":"18","key":"1687_CR15","doi-asserted-by":"crossref","first-page":"3918","DOI":"10.1016\/j.ins.2007.04.002","volume":"177","author":"DH Kim","year":"2007","unstructured":"Kim DH, Abraham A, Cho JH (2007) A hybrid genetic algorithm and bacterial foraging approach for global optimization. Inf Sci 177(18):3918\u20133937","journal-title":"Inf Sci"},{"key":"1687_CR16","doi-asserted-by":"crossref","unstructured":"Korani WM, Dorrah HT, Emara HM (2009) Bacterial foraging oriented by particle swarm optimization strategy for PID tuning. In: Computational intelligence in robotics and automation (CIRA), 2009 IEEE international symposium on IEEE, pp 445\u2013450","DOI":"10.1109\/CIRA.2009.5423165"},{"key":"1687_CR17","doi-asserted-by":"crossref","unstructured":"Li Z et al (2014) Differential evolution strategy based on the constraint of fitness values classification. In: Evolutionary computation (CEC), 2014 IEEE Congress on IEEE, pp 1454\u20131460","DOI":"10.1109\/CEC.2014.6900507"},{"key":"1687_CR18","unstructured":"Liang JJ, Qu BY, Suganthan PN (2013) Problem definitions and evaluation criteria for the CEC 2014 special session and competition on single objective real-parameter numerical optimization. In: Computational intelligence laboratory"},{"issue":"3","key":"1687_CR19","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1023\/A:1021207331209","volume":"115","author":"Y Liu","year":"2002","unstructured":"Liu Y, Passino K (2002) Biomimicry of social foraging bacteria for distributed optimization: models, principles, and emergent behaviors. J Optim Theory Appl 115(3):603\u2013628. doi: 10.1023\/A:1021207331209 Issn: 0022-3239","journal-title":"J Optim Theory Appl"},{"key":"1687_CR20","unstructured":"Luke S (2009) Essentials of Metaheuristics. Available for free at http:\/\/cs.gmu.edu\/~sean\/book\/metaheuristics\/ . Lulu"},{"issue":"1","key":"1687_CR21","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1109\/TEVC.2004.840144","volume":"9","author":"S Mishra","year":"2005","unstructured":"Mishra S (2005) A hybrid least square-fuzzy bacterial foraging strategy for harmonic estimation. Evol Comput IEEE Trans 9(1):61\u2013 73","journal-title":"Evol Comput IEEE Trans"},{"issue":"1","key":"1687_CR22","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1109\/TPWRD.2006.876651","volume":"22","author":"S Mishra","year":"2007","unstructured":"Mishra S, Bhende CN (2007) Bacterial foraging technique-based optimized active power filter for load compensation. Power Deliv IEEE Trans 22(1):457\u2013465","journal-title":"Power Deliv IEEE Trans"},{"issue":"3","key":"1687_CR23","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1109\/MCS.2002.1004010","volume":"22","author":"KM Passino","year":"2002","unstructured":"Passino KM (2002) Biomimicry of bacterial foraging for distributed optimization and control. Control Syst IEEE 22(3):52\u201367","journal-title":"Control Syst IEEE"},{"issue":"1","key":"1687_CR24","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1007\/s11721-007-0002-0","volume":"1","author":"R Poli","year":"2007","unstructured":"Poli R, Kennedy J, Blackwell T (2007) Particle swarm optimization. Swarm Intell 1(1):33\u201357. doi: 10.1007\/s11721-007-0002-0","journal-title":"Swarm Intell"},{"key":"1687_CR25","doi-asserted-by":"crossref","unstructured":"Qin AK, Li X (2013) Differential evolution on the CEC-2013 single-objective continuous optimization testbed. In: Evolutionary computation (CEC), 2013 IEEE Congress on IEEE, pp 1099\u20131106","DOI":"10.1109\/CEC.2013.6557689"},{"key":"1687_CR26","doi-asserted-by":"crossref","unstructured":"Qu BY et al (2014) Memetic differential evolution based on fitness Euclidean-distance ratio. In: Evolutionary computation (CEC), 2014 IEEE Congress on IEEE, pp 2266\u20132273","DOI":"10.1109\/CEC.2014.6900476"},{"key":"1687_CR27","doi-asserted-by":"crossref","unstructured":"Storn R (1996) On the usage of differential evolution for function optimization. In: Fuzzy information processing society, 1996. NAFIPS., 1996 Biennial Conference of the North American. IEEE, pp 519\u2013523","DOI":"10.1109\/NAFIPS.1996.534789"},{"issue":"4","key":"1687_CR28","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn R, Price K (1997) Differential evolution\u2014a simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim 11(4):341\u2013359","journal-title":"J Glob Optim"},{"key":"1687_CR29","doi-asserted-by":"crossref","unstructured":"Tripathy M et al (2006) Transmission loss reduction based on FACTS and bacteria foraging algorithm. In: Parallel problem solving from nature-PPSN IX. Springer, Brelin, pp 222\u2013231","DOI":"10.1007\/11844297_23"},{"issue":"2","key":"1687_CR30","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1007\/BF00175354","volume":"4","author":"D Whitley","year":"1994","unstructured":"Whitley D (1994) A genetic algorithm tutorial. Stat Comput 4(2):65\u201385. doi: 10.1007\/BF00175354","journal-title":"Stat Comput"},{"key":"1687_CR31","doi-asserted-by":"crossref","unstructured":"Yu C et al (2014) Fireworks algorithm with differential mutation for solving the cec 2014 competition problems. In: Evolutionary computation (CEC), 2014 IEEE Congress on IEEE, pp 3238\u20133245","DOI":"10.1109\/CEC.2014.6900590"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-015-1687-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-015-1687-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-015-1687-4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,8]],"date-time":"2024-06-08T23:45:04Z","timestamp":1717890304000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-015-1687-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,5,15]]},"references-count":31,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2015,12]]}},"alternative-id":["1687"],"URL":"https:\/\/doi.org\/10.1007\/s00500-015-1687-4","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,5,15]]}}}