Multi-Population Genetic Algorithm for Locating Multi-Optima in Noisy Complex Landscape

References

• Bessaou , M. , Pétrowski , A. , Siarry , P. ( 2000 ). Island model cooperating with speciation for multimodal optimization. Proc. 6th Int. Conf. Parallel Problem Solving From Nature; September 18–20. M. Schoenauer, K., Deb, G., Rudolph, X., Yao, E., Lutton, J. J., Guervós, Schwefel, H. eds. Lecture Notes In Computer Science. Vol. 1917. London: Springer-Verlag, pp. 437–446 .
   Google Scholar
• Chen , X. F. , Gui , W. H. , Cen , L. H. , Hu , Z. K. ( 2004 ). A multi-population genetic algorithm based on chaotic migration strategy and its application to inventory programming . Proc. WCICA 2004 , pp. 2159 – 2162 .
   Google Scholar
• Clote , P. ( 2005 ). An efficient algorithm to compute the landscape of locally optimal RNA secondary structures with respect to the Nussinov–Jacobson energy model . J. Computat. Biol. 12–1 : 83 – 101 .
   Google Scholar
• Cupal , J. , Hofacker , I. L. , Stadler , P. F. ( 1996 ). Dynamic programming algorithm for the density of states of RNA secondary structures . Proc. German Conf. Bioinformatics , pp. 184 – 186 .
   Google Scholar
• Debenedetti , P. G. , Stillinger , F. H. ( 2001 ). Supercooled liquids and the glass transition . Nature 410 : 259 – 267 .
   PubMed Web of Science ®Google Scholar
• Denzinger , J. , Kidney , J. ( 2003 ). Improving migration by diversity . Proc. CEC-2003. Canberra , Australia , pp. 700 – 707 .
   Google Scholar
• Denzinger , J. , Offermann , T. ( 1999 ). On cooperation between evolutionary algorithms and other search paradigms . Proc. CEC-99. Washington , DC , pp. 2317 – 2324 .
   Google Scholar
• Doyle , J. P. K. ( 2002 ). Network topology of a potential energy landscape: A static scale-free network . Phys. Rev. Lett. 88 : 238 – 701 .
   Google Scholar
• Flamm , C. , Fontana , W. , Hofacker , I. L. , Schuster , P. F. ( 2000 ). RNA folding at elementary step resolution . RNA 6 : 325 – 338 .
   PubMed Web of Science ®Google Scholar
• Flamm , C. , Hofacker , I. L. , Stadler , P. F. , Wolfinger , M. ( 2002 ). Barrier trees of degenerate landscapes . Z. Phys. Chem. 216 : 155 – 173 .
   Google Scholar
• Giordano , F. R. , Weir , M. D. , Fox , W. P. (2003). A First Course in Mathematical Modeling. , 3rd ed. Pacific Groves , CA : Thomson Learning, p. 147.
   Google Scholar
• Law , N. L. , Szeto , K. Y. ( 2007 ). Adaptive genetic algorithm with mutation and crossover matrices. Proc. 12th Int. Joint Conf. Artific. Intell. (IJCAI-07), January 6–12, (Volume II), IJCAI-07. Hyderabad, India, pp. 2330–2333 .
   Google Scholar
• Mathews , D. H. , Sabina , J. , Zuker , M. , Turner , D. H. ( 1999 ). Expanded sequence dependence of thermodynamic parameters improves prediction of RNA secondary structure . J. Mol. Biol. 288 : 911 – 940 .
   PubMed Web of Science ®Google Scholar
• Mera , N. S. , Elliott , L. , Ingham , D. B. ( 2004 ). A multi-population genetic algorithm approach for solving ill-posed problems . Computat. Mech. 33 : 254 – 262 .
   Web of Science ®Google Scholar
• Šali , A. , Shakhnovich , E. , Karplus , M. ( 1994 ). How does a protein fold? Nature 369 : 248 – 251 .
   PubMed Web of Science ®Google Scholar
• Szeto , K. Y. , Zhang , J. ( 2006 ). Adaptive genetic algorithm and quasi-parallel genetic algorithm: Application to low-dimensional physics . In: Lirkov , I. , Margenov , S. , Wasniewski J. , eds. LSSC 2005 June Sozopol, LNCS3743 , pp. 189 – 196 .
   Google Scholar
• Wales , D. J. , Doye , J. P. K. , Miller , M. A. , Mortenson , P. N. , Walsh , T. R. ( 2000 ). Energy landscapes: From clusters to biomolecules . Adv. Chem. Phys. 115 : 1 – 111 .
   Web of Science ®Google Scholar
• Wales , D. J. , Miller , M. A. , Walsh , T. R. ( 1998 ). Archetypal energy landscapes . Nature 394 : 758 – 760 .
   Web of Science ®Google Scholar
• Wu , Y. L. , Lu , J. G. , Sun , Y. X. ( 2006 ). An improved multi-population genetic algorithm for constrained nonlinear optimization . Proc. 6th World Congress on Intelligent Control and Automation (WCICA 2006) . Vol. 1 . Dailan , China , pp. 1910 – 1914 .
   Google Scholar
• Yao , J. , Kharma , N. , Grogono , P. ( 2005a ). A multi-population genetic algorithm for robust and fast ellipse detection . Patt. Anal. Applic. 8 : 149 – 162 .
   Google Scholar
• Yao , J. , Kharma , N. , Grogono , P. ( 2005b ). BMPGA: A bi-objective multi-population genetic algorithm for multi-modal function optimization . Proc. 2005 IEEE Congr. Evol. Computat. Vol. 1 . Edinburgh, Scotland , pp. 816 – 823 .
   Google Scholar