Spider Monkey Optimization algorithm for numerical optimization
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Harish Sharma | Maurice Clerc | Jagdish Chand Bansal | Shimpi Singh Jadon | M. Clerc | Harish Sharma | S. Jadon
[1] Jürgen Schmidhuber,et al. Self-organizing nets for optimization , 2004, IEEE Transactions on Neural Networks.
[2] Kevin M. Passino,et al. Bacterial Foraging Optimization , 2010, Int. J. Swarm Intell. Res..
[3] Russell C. Eberhart,et al. Parameter Selection in Particle Swarm Optimization , 1998, Evolutionary Programming.
[4] Lynn A. Fairbanks,et al. Juvenile primates : life history, development, and behavior , 1993 .
[5] Caste and ecology in the social insects , 1979 .
[6] X. Z. Gao,et al. A simulated annealing-based immune optimization method , 2008 .
[7] Peter J. Angeline,et al. Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences , 1998, Evolutionary Programming.
[8] H. B. Mann,et al. On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other , 1947 .
[9] M. Symington,et al. Fission-fusion social organization inAteles andPan , 1990, International Journal of Primatology.
[10] Nikolaus Hansen,et al. The CMA Evolution Strategy: A Comparing Review , 2006, Towards a New Evolutionary Computation.
[11] Katja Hofmann,et al. Balancing Exploration and Exploitation in Learning to Rank Online , 2011, ECIR.
[12] D. Williamson,et al. The box plot: a simple visual method to interpret data. , 1989, Annals of internal medicine.
[13] Nikolaus Hansen,et al. Adapting arbitrary normal mutation distributions in evolution strategies: the covariance matrix adaptation , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.
[14] Gabriel Ramos-Fernandez. Patterns of association, feeding competition and vocal communication in spider monkeys, Ateles geoffroyi , 2001 .
[15] René Thomsen,et al. A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[16] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[17] W. Kinzey,et al. Challenge of neotropical frugivory: Travel patterns of spider monkeys and bearded sakis , 1994, American journal of primatology.
[18] Kevin M. Passino,et al. Biomimicry of bacterial foraging for distributed optimization and control , 2002 .
[19] Dervis Karaboga,et al. A comparative study of Artificial Bee Colony algorithm , 2009, Appl. Math. Comput..
[20] K. V. Price,et al. Differential evolution: a fast and simple numerical optimizer , 1996, Proceedings of North American Fuzzy Information Processing.
[21] Sam Kwong,et al. Gbest-guided artificial bee colony algorithm for numerical function optimization , 2010, Appl. Math. Comput..
[22] Ivan Zelinka,et al. ON STAGNATION OF THE DIFFERENTIAL EVOLUTION ALGORITHM , 2000 .
[23] R. Storn,et al. Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series) , 2005 .
[24] R. Storn,et al. Differential evolution a simple and efficient adaptive scheme for global optimization over continu , 1997 .
[25] Daniel Sabatier,et al. Diets of some French guianan primates: Food composition and food choices , 1996, International Journal of Primatology.
[26] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[27] Riccardo Poli,et al. Particle swarm optimization , 1995, Swarm Intelligence.
[28] Marco Dorigo,et al. Swarm intelligence: from natural to artificial systems , 1999 .
[29] M.M.A. Salama,et al. Opposition-Based Differential Evolution , 2008, IEEE Transactions on Evolutionary Computation.
[30] Raymond Chiong,et al. Evolutionary Optimization: Pitfalls and Booby Traps , 2012, Journal of Computer Science and Technology.
[31] Zelda B. Zabinsky,et al. A Numerical Evaluation of Several Stochastic Algorithms on Selected Continuous Global Optimization Test Problems , 2005, J. Glob. Optim..
[32] K. Milton,et al. Diet and social organization of a free-ranging spider monkey population: the development of species-typical behavior in the absence of adults , 1993 .
[33] Dervis Karaboga,et al. A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems , 2011, Appl. Soft Comput..
[34] P. N. Suganthan,et al. Problem Definitions and Evaluation Criteria for CEC 2011 Competition on Testing Evolutionary Algorithms on Real World Optimization Problems , 2011 .
[35] Dervis Karaboga,et al. AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION , 2005 .
[36] M. V. Roosmalen,et al. Habitat preferences, diet, feeding strategy and social organization of the black spider monkey (ateles paniscus paniscus linnaeus 1758) in surinam , 1985 .
[37] Carlos A. Coello Coello,et al. A comparative study of differential evolution variants for global optimization , 2006, GECCO.
[38] Thomas Stützle,et al. Ant Colony Optimization Theory , 2004 .
[39] R. Jeanne. THE EVOLUTION OF THE ORGANIZATION OF WORK IN SOCIAL INSECTS , 2013 .
[40] K. V. Arya,et al. Opposition based lévy flight artificial bee colony , 2012, Memetic Computing.
[41] Leandro Nunes de Castro,et al. Artificial Immune Systems: Part I-Basic Theory and Applications , 1999 .
[42] M. Clerc. A method to improve Standard PSO , 2009 .
[43] E. Sandgren,et al. Nonlinear Integer and Discrete Programming in Mechanical Design Optimization , 1990 .
[44] Jing J. Liang,et al. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization , 2005 .
[45] Kusum Deep,et al. A new crossover operator for real coded genetic algorithms , 2007, Appl. Math. Comput..
[46] P. Suganthan,et al. Problem Definitions and Evaluation Criteria for the CEC 2010 Competition on Constrained Real- Parameter Optimization , 2010 .
[47] James J. Filliben,et al. NIST/SEMATECH e-Handbook of Statistical Methods; Chapter 1: Exploratory Data Analysis , 2003 .