메뉴 건너뛰기




Volumn 23, Issue 3, 2010, Pages 292-301

A novel multiobjective optimization algorithm based on bacterial chemotaxis

Author keywords

Bacterial chemotaxis; Bio inspired techniques; Chemotactical strategy optimization; Multiobjective optimization; Pareto Optimal Front

Indexed keywords

BACTERIAL CHEMOTAXIS; BIO-INSPIRED TECHNIQUES; CHEMOTACTICAL STRATEGY OPTIMIZATION; PARETO-OPTIMAL FRONT; STRATEGY OPTIMIZATION;

EID: 77049125248     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2009.09.010     Document Type: Article
Times cited : (55)

References (37)
  • 1
    • 48149100446 scopus 로고    scopus 로고
    • Effect of finite register length on Bacterial Foraging Optimization based ICA and Constrained Genetic Algorithm based ICA algorithm
    • Chennai, India, 4-6 January
    • Acharyal, D.P., Panda, G., 2008. Effect of finite register length on Bacterial Foraging Optimization based ICA and Constrained Genetic Algorithm based ICA algorithm. In: Proceedings of the IEEE International Conference on Signal Processing, Communications and Networking, Chennai, India, 4-6 January 2008, pp. 244-249.
    • (2008) Proceedings of the IEEE International Conference on Signal Processing, Communications and Networking , pp. 244-249
    • Acharyal, D.P.1    Panda, G.2
  • 3
    • 0027466308 scopus 로고
    • The largest bacterium
    • Angert E.R., Clements K., and Pace N. The largest bacterium. Nature 362 6417 (1993) 239-241
    • (1993) Nature , vol.362 , Issue.6417 , pp. 239-241
    • Angert, E.R.1    Clements, K.2    Pace, N.3
  • 4
    • 39049113752 scopus 로고    scopus 로고
    • A synergy of differential evolution and bacterial foraging optimization for global optimization
    • Biswas A., et al. A synergy of differential evolution and bacterial foraging optimization for global optimization. Neural Network World 17 6 (2007) 607-626
    • (2007) Neural Network World , vol.17 , Issue.6 , pp. 607-626
    • Biswas, A.1
  • 6
    • 39049167678 scopus 로고    scopus 로고
    • A novel optimization approach: Bacterial-GA foraging
    • Information and Control, Washington, DC, USA, 5-7 September
    • Chen, T.C. et al., 2007. A novel optimization approach: bacterial-GA foraging. In: Proceedings of the Second International Conference on Innovative Computing, Information and Control, Washington, DC, USA, 5-7 September 2007, pp. 391-394.
    • (2007) Proceedings of the Second International Conference on Innovative Computing , pp. 391-394
    • Chen, T.C.1
  • 7
    • 34547282708 scopus 로고    scopus 로고
    • A survey of recent developments in multiobjective optimization
    • Chinchuluun A., and Pardalos P. A survey of recent developments in multiobjective optimization. Annals of Operation Research 154 1 (2007) 29-50
    • (2007) Annals of Operation Research , vol.154 , Issue.1 , pp. 29-50
    • Chinchuluun, A.1    Pardalos, P.2
  • 11
    • 0003126776 scopus 로고    scopus 로고
    • Evolutionary algorithms for multi-criterion optimization in engineering design
    • Jyväskylä, Finland, 29 May-03 June, pp
    • Deb, K., 1999. Evolutionary algorithms for multi-criterion optimization in engineering design. In: Proceedings of Evolutionary Algorithms in Engineering and Computer Science (EUROGEN-99), Jyväskylä, Finland, 29 May-03 June, pp. 135-161.
    • (1999) Proceedings of Evolutionary Algorithms in Engineering and Computer Science (EUROGEN-99) , pp. 135-161
    • Deb, K.1
  • 13
    • 0036530772 scopus 로고    scopus 로고
    • A fast and elitist multiobjective genetic algorithm: NSGA II
    • Deb K., et al. A fast and elitist multiobjective genetic algorithm: NSGA II. IEEE Transactions on Evolutionary Computation 6 2 (2002) 182-197
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , Issue.2 , pp. 182-197
    • Deb, K.1
  • 14
    • 3843116761 scopus 로고    scopus 로고
    • Imperial College Press, Singapore
    • Eisenbach M., et al. Chemotaxis (2004), Imperial College Press, Singapore
    • (2004) Chemotaxis
    • Eisenbach, M.1
  • 15
    • 40649110803 scopus 로고    scopus 로고
    • A novel simplified foraging optimization algorithm for parameter identification of nonlinear system model
    • Jinan, China, 18-21 August
    • Fang, Y., Liu, Y., Liu, J., 2007. A novel simplified foraging optimization algorithm for parameter identification of nonlinear system model. In: Proceedings of the IEEE International Conference on Automation and Logistics, Jinan, China, 18-21 August 2007, pp. 798-802.
    • (2007) Proceedings of the IEEE International Conference on Automation and Logistics , pp. 798-802
    • Fang, Y.1    Liu, Y.2    Liu, J.3
  • 16
    • 0036349369 scopus 로고    scopus 로고
    • Stability analysis of swarms in an environment with an attractant/repellent profile
    • Anchorage, Alaska, May
    • Gazi, V., Passino, K.M., 2002. Stability analysis of swarms in an environment with an attractant/repellent profile. In: Proceedings of the American Control Conference, Anchorage, Alaska, May 2002, pp. 1819-824.
    • (2002) Proceedings of the American Control Conference , pp. 1819-1824
    • Gazi, V.1    Passino, K.M.2
  • 17
    • 38949139567 scopus 로고    scopus 로고
    • Interference suppression of linear antenna arrays by amplitude-only control using a bacterial foraging algorithm
    • Guney K., and Basbug S. Interference suppression of linear antenna arrays by amplitude-only control using a bacterial foraging algorithm. Progress in Electromagnetic Research 79 (2008) 475-497
    • (2008) Progress in Electromagnetic Research , vol.79 , pp. 475-497
    • Guney, K.1    Basbug, S.2
  • 18
  • 19
    • 0025148428 scopus 로고
    • Abrupt changes in flagellar rotation observed by laser dark-field microscopy
    • Kudo S., Magariyama Y., and Aizawa S.I. Abrupt changes in flagellar rotation observed by laser dark-field microscopy. Nature 346 6285 (1990) 677-680
    • (1990) Nature , vol.346 , Issue.6285 , pp. 677-680
    • Kudo, S.1    Magariyama, Y.2    Aizawa, S.I.3
  • 20
    • 34548269905 scopus 로고    scopus 로고
    • Multi-objective Particle Swarm Optimization with time variant inertia and acceleration coefficients
    • Kumar P., Bandyopadhyay S., and Kumar S. Multi-objective Particle Swarm Optimization with time variant inertia and acceleration coefficients. Information Sciences 177 22 (2007) 5033-5049
    • (2007) Information Sciences , vol.177 , Issue.22 , pp. 5033-5049
    • Kumar, P.1    Bandyopadhyay, S.2    Kumar, S.3
  • 21
    • 77049123995 scopus 로고    scopus 로고
    • Bacterial foraging algorithm with varying population for optimal power flow
    • Valencia, Spain, 11-13 April
    • Li, M.S. et al., 2007. Bacterial foraging algorithm with varying population for optimal power flow. In: Proceedings of EVOWORKSHOPS, Valencia, Spain, 11-13 April 2007, pp. 267-261.
    • (2007) Proceedings of EVOWORKSHOPS , pp. 267-261
    • Li, M.S.1
  • 22
    • 21144443875 scopus 로고    scopus 로고
    • A non-dominated sorting Particle Swarm Optimizer
    • Proceedings of Genetic and Evolutionary Computation Conference 2003 GECCO'03
    • Li, X., 2003. A non-dominated sorting Particle Swarm Optimizer. In: Proceedings of Genetic and Evolutionary Computation Conference 2003 (GECCO'03), Lecture Notes in Computer Science, pp. 37-48.
    • (2003) Lecture Notes in Computer Science , pp. 37-48
    • Li, X.1
  • 24
    • 0036439543 scopus 로고    scopus 로고
    • Biomimicry of social foraging bacteria for distributed optimization models, principles and emergent behaviors
    • Liu Y., and Passino K.M. Biomimicry of social foraging bacteria for distributed optimization models, principles and emergent behaviors. Journal of Optimization Theory and Applications 115 3 (2002) 603-628
    • (2002) Journal of Optimization Theory and Applications , vol.115 , Issue.3 , pp. 603-628
    • Liu, Y.1    Passino, K.M.2
  • 25
    • 14844315725 scopus 로고    scopus 로고
    • A hybrid least square-fuzzy bacterial foraging strategy for harmonic estimation
    • Mishra S. A hybrid least square-fuzzy bacterial foraging strategy for harmonic estimation. IEEE Transactions on Evolutionary Computation 9 1 (2005) 61-73
    • (2005) IEEE Transactions on Evolutionary Computation , vol.9 , Issue.1 , pp. 61-73
    • Mishra, S.1
  • 26
    • 0027948854 scopus 로고
    • A sub-optimal solution to the optimisation of bioreactors using the chemotaxis algorithm
    • Montague G.A., and Wardb A.C. A sub-optimal solution to the optimisation of bioreactors using the chemotaxis algorithm. Process Biochemistry 29 6 (1994) 489-496
    • (1994) Process Biochemistry , vol.29 , Issue.6 , pp. 489-496
    • Montague, G.A.1    Wardb, A.C.2
  • 28
    • 44349083059 scopus 로고    scopus 로고
    • Bacterial foraging optimisation: Nelder-Mead hybrid algorithm for economic load dispatch
    • Panigrahi B.K., and Ravikumar Pandi V. Bacterial foraging optimisation: Nelder-Mead hybrid algorithm for economic load dispatch. IET Generation, Transmission & Distribution 2 4 (2008) 556-565
    • (2008) IET Generation, Transmission & Distribution , vol.2 , Issue.4 , pp. 556-565
    • Panigrahi, B.K.1    Ravikumar Pandi, V.2
  • 30
    • 0036608987 scopus 로고    scopus 로고
    • Biomimicry of bacterial foraging for distributed optimization and control
    • Passino K. Biomimicry of bacterial foraging for distributed optimization and control. IEEE Control Systems Magazine 22 3 (2002) 52-67
    • (2002) IEEE Control Systems Magazine , vol.22 , Issue.3 , pp. 52-67
    • Passino, K.1
  • 31
    • 0037043731 scopus 로고    scopus 로고
    • Cultivation of the ubiquitous SAR11 marine bacterioplankton clade
    • Rappe M.S., et al. Cultivation of the ubiquitous SAR11 marine bacterioplankton clade. Nature 418 6898 (2002) 630-633
    • (2002) Nature , vol.418 , Issue.6898 , pp. 630-633
    • Rappe, M.S.1
  • 36
    • 38049014332 scopus 로고    scopus 로고
    • Improved Bacterial Foraging Algorithms and their Applications to Job Shop Scheduling Problems
    • Wu, C. et al., 2007. Improved Bacterial Foraging Algorithms and their Applications to Job Shop Scheduling Problems. Lecture Notes in Computer Science, vol. 4431, pp. 562-569.
    • (2007) Lecture Notes in Computer Science , vol.4431 , pp. 562-569
    • Wu, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.