Modified biogeography-based optimisation (MBBO)

被引:0
作者
Lohokare, M. R. [1 ]
Devi, S. [1 ]
Pattnaik, S. S. [2 ]
Panigrahi, B. K. [3 ]
Joshi, J. G. [1 ]
机构
[1] Natl Inst Tech Teachers Training & Res, Dept Elect & Commun, Chandigarh 160019, India
[2] Natl Inst Tech Teachers Training & Res, Educ Televis Ctr, Chandigarh 160019, India
[3] Indian Inst Technol Delhi, Dept Elect Engn, New Delhi 110016, India
关键词
modified biogeography-based optimisation; MBBO; biogeography; population-based algorithms; resonant frequency; rectangular microstrip patch antenna; RMSA; MICROSTRIP ANTENNA ELEMENTS; CONSTRAINED OPTIMIZATION; PHYSICAL-PROPERTIES; COMPUTATION; ALGORITHM; EVOLUTION; FORMULAS; STRATEGY;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Modified biogeography-based optimisation (MBBO) technique is modified version of BBO which is a bio-inspired and population-based optimisation technique. Biogeography is the study of distribution of species in nature. In this paper, BBO is modified by applying the concept of mutation as extended migration in phenomenon of mutation and prevention of similar habitats. Mutation as concept of extended migration is based on sharing of the information from best solution which controls the diversity among the population limited to the near feasible solution. These make the fine-tuning of the algorithm from one generation to next and converge fast. Fourteen standard benchmark functions are used to demonstrate the performance of MBBO. The results are compared with eight other population-based optimisation algorithms with discrete version of population. The experimental results are analysed using statistical two paired t-test. MBBO performance is also compared with other modified BBO algorithms. To show the capability of MBBO to solve the problems of continuous type, MBBO and other optimisation algorithms are applied as soil computing tool to calculate the resonant frequency of rectangular microstrip patch antennas of different dimensions having various substrate thicknesses.
引用
收藏
页码:252 / 266
页数:15
相关论文
共 35 条
[1]  
[Anonymous], 2001, Microstrip Antenna Design Handbook
[2]  
[Anonymous], 1992, GENETIC ALGORITHMS D, DOI DOI 10.1007/978-3-662-03315-9
[3]  
Bahl I. J., 1980, Microstrip Antennas
[4]  
Bernstein DS, 2006, IEEE CONTR SYST MAG, V26, P6
[5]   A multiobjective optimization-based evolutionary algorithm for constrained optimization [J].
Cai, Zixing ;
Wang, Yong .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2006, 10 (06) :658-675
[6]   Differential evolution and threshold accepting hybrid algorithm for unconstrained optimisation [J].
Chauhan, Nikunj ;
Ravi, V. .
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 2010, 2 (3-4) :169-182
[7]  
Chintakindi V., 2007, Applied Electromagnetics Conference, P1
[8]   Special section on ant colony optimization [J].
Dorigo, M ;
Gambardella, LM ;
Middendorf, M ;
Stützle, T .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (04) :317-320
[9]   Biogeography-Based Optimization Combined with Evolutionary Strategy and Immigration Refusal [J].
Du, Dawei ;
Simon, Dan ;
Ergezer, Mehmet .
2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9, 2009, :997-1002
[10]  
Gao XZ, 2009, INT J INNOV COMPUT I, V5, P2985