On the Randomized Firefly Algorithm

[1]  Iztok Fister,et al.  A comprehensive review of firefly algorithms , 2013, Swarm Evol. Comput..

[2]  A. Gandomi,et al.  Swarm Intelligence and Bio-Inspired Computation , 2013, Applied Soft Computing.

[3]  Iztok Fister,et al.  A hybrid bat algorithm , 2013, ArXiv.

[4]  D. Feldman.  Chaos and Fractals: An Elementary Introduction , 2012 .

[5]  Janez Brest,et al.  Memetic artificial bee colony algorithm for large-scale global optimization , 2012, 2012 IEEE Congress on Evolutionary Computation.

[6]  Iztok Fister,et al.  Memetic firefly algorithm for combinatorial optimization , 2012, 1204.5165.

[7]  Skye M. Long,et al.  Firefly flashing and jumping spider predation , 2012, Animal Behaviour.

[8]  Xin‐She Yang,et al.  Appendix A: Test Problems in Optimization , 2010 .

[9]  Xin-She Yang,et al.  A New Metaheuristic Bat-Inspired Algorithm , 2010, NICSO.

[10]  Xin-She Yang,et al.  Cuckoo Search via Lévy flights , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

[11]  Xin-She Yang,et al.  Firefly Algorithms for Multimodal Optimization , 2009, SAGA.

[12]  Chen Zengqiang,et al.  Implementation of LT codes based on chaos , 2008 .

[13]  Dervis Karaboga,et al.  A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm , 2007, J. Glob. Optim..

[14]  J. Demšar.  Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..

[15]  Thomas Stützle,et al.  Stochastic Local Search: Foundations & Applications , 2004 .

[16]  Alain Hertz,et al.  5. Tabu search , 2003 .

[17]  Mika Hirvensalo,et al.  Introduction to Evolutionary Computing , 2002, Natural Computing Series.

[18]  Bruce G. Elmegreen,et al.  The Initial Stellar Mass Function from Random Sampling in a Turbulent Fractal Cloud , 1997 .

[19]  F. Glover,et al.  Tabu Search , 1997 .

[20]  J. K. Lenstra,et al.  Local Search in Combinatorial Optimisation. , 1997 .

[21]  M. Friedman.  A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings , 1940 .

[22]  M. Friedman.  The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance , 1937 .

[23]  B. Eggers.  Computers And Intractability A Guide To The Theory Of Np Completeness , 2016 .

[24]  Janez Brest,et al.  Memetic Self-Adaptive Firefly Algorithm , 2013 .

[25]  Xin-She Yang,et al.  Firefly algorithm with chaos , 2013, Commun. Nonlinear Sci. Numer. Simul..

[26]  H. Zepernick,et al.  Lévy Flights and Global Optimization , 2013 .

[27]  Marjan Mernik,et al.  Analysis of exploration and exploitation in evolutionary algorithms by ancestry trees , 2011 .

[28]  Xiaodong Li,et al.  Swarm Intelligence in Optimization , 2008, Swarm Intelligence.

[29]  Stephen J. Simpson,et al.  Biological Foundations of Swarm Intelligence , 2008, Swarm Intelligence.

[30]  Swarm Intelligence: Introduction and Applications , 2008, Swarm Intelligence.

[31]  Marco Dorigo,et al.  The ant colony optimization meta-heuristic , 1999 .

[32]  Riccardo Poli,et al.  New ideas in optimization , 1999 .

[33]  Jing Wang,et al.  Swarm Intelligence in Cellular Robotic Systems , 1993 .

[34]  M. Garey.  Johnson: computers and intractability: a guide to the theory of np- completeness (freeman , 1979 .