Nature-Inspired Algorithms
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[1] Xin-She Yang,et al. Nature-Inspired Metaheuristic Algorithms , 2008 .
[2] Jean-Luc Chabert,et al. A History of Algorithms , 1999 .
[3] Xin-She Yang,et al. A New Metaheuristic Bat-Inspired Algorithm , 2010, NICSO.
[4] M. Lindauer. Communication Among Social Bees , 1961 .
[5] J. Altringham. Bats: Biology and Behaviour , 1996 .
[6] Dalia Yousri,et al. Flower Pollination Algorithm based solar PV parameter estimation , 2015 .
[7] Ilya Pavlyukevich. Lévy flights, non-local search and simulated annealing , 2007, J. Comput. Phys..
[8] Xin-She Yang,et al. Optimization Techniques and Applications with Examples , 2018 .
[9] Len Fisher. The Perfect Swarm: The Science of Complexity in Everyday Life , 2009 .
[10] Amir Hossein Gandomi,et al. Chaotic bat algorithm , 2014, J. Comput. Sci..
[11] B. Glover. Understanding Flowers and Flowering , 2007 .
[12] Nigel Davies. Cuckoo adaptations: trickery and tuning , 2011 .
[13] Craig A. Tovey,et al. On Honey Bees and Dynamic Server Allocation in Internet Hosting Centers , 2004, Adapt. Behav..
[14] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[15] Xin-She Yang,et al. Bio-Inspired Computation and Applications in Image Processing , 2016 .
[16] E. S. Ali,et al. Combined economic and emission dispatch solution using Flower Pollination Algorithm , 2016 .
[17] J. Michael Herrmann,et al. A Review of No Free Lunch Theorems, and Their Implications for Metaheuristic Optimisation , 2018 .
[18] Xin-She Yang,et al. Cuckoo Search and Firefly Algorithm , 2014 .
[19] Janez Brest,et al. Modified firefly algorithm using quaternion representation , 2013, Expert Syst. Appl..
[20] Zong Woo Geem,et al. A New Heuristic Optimization Algorithm: Harmony Search , 2001, Simul..
[21] Sara M Lewis,et al. Flash signal evolution, mate choice, and predation in fireflies. , 2008, Annual review of entomology.
[22] W. J. Bell. Searching Behaviour: The Behavioural Ecology of Finding Resources , 1991 .
[23] David H. Wolpert,et al. Coevolutionary free lunches , 2005, IEEE Transactions on Evolutionary Computation.
[24] Zhihua Cui,et al. Swarm Intelligence and Bio-Inspired Computation: Theory and Applications , 2013 .
[25] Xin-She Yang,et al. Flower Pollination Algorithm for Global Optimization , 2012, UCNC.
[26] B. Bolton. A New General Catalogue of the Ants of the World , 1995 .
[27] Xin-She Yang,et al. Swarm Intelligence and Bio-Inspired Computation , 2013 .
[28] Jean-Luc Chabert,et al. A history of algorithms: from the pebble to the microchip , 1999 .
[29] N. Waser. Flower Constancy: Definition, Cause, and Measurement , 1986, The American Naturalist.
[30] David Berlinski,et al. The Advent of the Algorithm: The 300-Year Journey from an Idea to the Computer , 2000 .
[31] Marco Dorigo,et al. Optimization, Learning and Natural Algorithms , 1992 .
[32] Xin-She Yang,et al. Cuckoo search: recent advances and applications , 2013, Neural Computing and Applications.
[33] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[34] Yuxin Zhao,et al. Global Convergence Analysis of the Flower Pollination Algorithm: A Discrete-Time Markov Chain Approach , 2018, ICCS.
[35] Xin-She Yang,et al. A novel bat algorithm based optimum tuning of mass dampers for improving the seismic safety of structures , 2018 .
[36] Hossein Nezamabadi-pour,et al. GSA: A Gravitational Search Algorithm , 2009, Inf. Sci..
[37] Xin-She Yang,et al. Sizing optimization of truss structures using flower pollination algorithm , 2015, Appl. Soft Comput..
[38] Xin-She Yang,et al. Bat algorithm: literature review and applications , 2013, Int. J. Bio Inspired Comput..
[39] Xin-She Yang,et al. Global convergence analysis of the bat algorithm using a markovian framework and dynamical system theory , 2018, Expert Syst. Appl..
[40] John R. Koza,et al. Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.
[41] X.-S. Yang,et al. Bio-inspired computation and its applications in image processing: an overview , 2016 .
[42] Xin-She Yang,et al. Firefly algorithm, stochastic test functions and design optimisation , 2010, Int. J. Bio Inspired Comput..
[43] Xin-She Yang,et al. Bat algorithm for multi-objective optimisation , 2011, Int. J. Bio Inspired Comput..
[44] D. M. Hutton,et al. The Essential Turing , 2007 .
[45] Xin-She Yang,et al. EEG-based person identification through Binary Flower Pollination Algorithm , 2016, Expert Syst. Appl..
[46] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[47] Lawrence J. Fogel,et al. Artificial Intelligence through Simulated Evolution , 1966 .
[48] Xin-She Yang,et al. Flower pollination algorithm: A novel approach for multiobjective optimization , 2014, ArXiv.
[49] Beverley J. Glover,et al. Understanding flowers and flowering : an integrated approach , 2007 .
[50] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[51] Andries Petrus Engelbrecht,et al. Fundamentals of Computational Swarm Intelligence , 2005 .
[52] A M Reynolds,et al. The Lévy flight paradigm: random search patterns and mechanisms. , 2009, Ecology.
[53] Ali R. Yildiz,et al. Cuckoo search algorithm for the selection of optimal machining parameters in milling operations , 2012, The International Journal of Advanced Manufacturing Technology.
[54] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[55] Xin-She Yang,et al. Engineering Optimizations via Nature-Inspired Virtual Bee Algorithms , 2005, IWINAC.
[56] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[57] Xin-She Yang,et al. Multiobjective cuckoo search for design optimization , 2013, Comput. Oper. Res..
[58] Amir Hossein Gandomi,et al. Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems , 2011, Engineering with Computers.
[59] Xin-She Yang,et al. Bio-Inspired Computation in Telecommunications , 2015 .
[60] David Beer,et al. The social power of algorithms , 2017, The Social Power of Algorithms.
[61] Zahra Moravej,et al. A novel approach based on cuckoo search for DG allocation in distribution network , 2013 .
[62] Fred W. Glover,et al. Future paths for integer programming and links to artificial intelligence , 1986, Comput. Oper. Res..
[63] Dervis Karaboga,et al. AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION , 2005 .
[64] Mea Allan,et al. Darwin and his flowers , 1977 .
[65] Xin-She Yang,et al. Nature-Inspired Optimization Algorithms: Challenges and Open Problems , 2020, J. Comput. Sci..