Tiki-taka algorithm: a novel metaheuristic inspired by football playing style
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[1] Hussain Shareef,et al. Lightning search algorithm , 2015, Appl. Soft Comput..
[2] Ali Husseinzadeh Kashan,et al. League Championship Algorithm: A New Algorithm for Numerical Function Optimization , 2009, 2009 International Conference of Soft Computing and Pattern Recognition.
[3] MirjaliliSeyedali,et al. Grasshopper Optimisation Algorithm , 2017 .
[4] Ali Kaveh,et al. Water Evaporation Optimization , 2016 .
[5] Amir Hossein Gandomi,et al. Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems , 2011, Engineering with Computers.
[6] Zhenxing Zhang,et al. Atom search optimization and its application to solve a hydrogeologic parameter estimation problem , 2019, Knowl. Based Syst..
[7] K. M. Ragsdell,et al. Optimal Design of a Class of Welded Structures Using Geometric Programming , 1976 .
[8] Navid Razmjooy,et al. A New Meta-Heuristic Optimization Algorithm Inspired by FIFA World Cup Competitions: Theory and Its Application in PID Designing for AVR System , 2016 .
[9] Andrew Lewis,et al. The Whale Optimization Algorithm , 2016, Adv. Eng. Softw..
[10] Fariborz Jolai,et al. Lion Optimization Algorithm (LOA): A nature-inspired metaheuristic algorithm , 2016, J. Comput. Des. Eng..
[11] Susan H. Xu,et al. Greedy algorithm for the general multidimensional knapsack problem , 2007, Ann. Oper. Res..
[12] Hossam Faris,et al. Harris hawks optimization: Algorithm and applications , 2019, Future Gener. Comput. Syst..
[13] Gian Luca Foresti,et al. A distributed probabilistic system for adaptive regulation of image processing parameters , 1996, IEEE Trans. Syst. Man Cybern. Part B.
[14] Yujun Zheng. Water wave optimization: A new nature-inspired metaheuristic , 2015, Comput. Oper. Res..
[15] Seyed Mohammad Mirjalili,et al. The Ant Lion Optimizer , 2015, Adv. Eng. Softw..
[16] Jaza Mahmood Abdullah,et al. Fitness Dependent Optimizer: Inspired by the Bee Swarming Reproductive Process , 2019, IEEE Access.
[17] Seyedali Mirjalili,et al. Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems , 2015, Neural Computing and Applications.
[18] Victor O. K. Li,et al. A social spider algorithm for global optimization , 2015, Appl. Soft Comput..
[19] Ali Ghoddosian,et al. Color harmony algorithm: an art-inspired metaheuristic for mathematical function optimization , 2020, Soft Comput..
[20] Seyed Mohammad Mirjalili,et al. Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm , 2015, Knowl. Based Syst..
[21] Ling Wang,et al. An effective co-evolutionary particle swarm optimization for constrained engineering design problems , 2007, Eng. Appl. Artif. Intell..
[22] Behrooz Vahidi,et al. A novel physical based meta-heuristic optimization method known as Lightning Attachment Procedure Optimization , 2017, Appl. Soft Comput..
[23] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[24] E. Sandgren,et al. Nonlinear Integer and Discrete Programming in Mechanical Design Optimization , 1990 .
[25] Yu Liu,et al. A new bio-inspired optimisation algorithm: Bird Swarm Algorithm , 2016, J. Exp. Theor. Artif. Intell..
[26] Leandro dos Santos Coelho,et al. A new metaheuristic optimisation algorithm motivated by elephant herding behaviour , 2017 .
[27] Erik Valdemar Cuevas Jiménez,et al. Side-Blotched Lizard Algorithm: A polymorphic population approach , 2020, Appl. Soft Comput..
[28] Salwani Abdullah,et al. Kidney-inspired algorithm for optimization problems , 2017, Commun. Nonlinear Sci. Numer. Simul..
[29] Andrew Lewis,et al. Grasshopper Optimisation Algorithm: Theory and application , 2017, Adv. Eng. Softw..
[30] Yuhui Shi,et al. Population Diversity Maintenance In Brain Storm Optimization Algorithm , 2014, J. Artif. Intell. Soft Comput. Res..
[31] C. Coello,et al. CONSTRAINT-HANDLING USING AN EVOLUTIONARY MULTIOBJECTIVE OPTIMIZATION TECHNIQUE , 2000 .
[32] Saeed Balochian,et al. Social mimic optimization algorithm and engineering applications , 2019, Expert Syst. Appl..
[33] Seyed Mohammad Mirjalili,et al. Multi-Verse Optimizer: a nature-inspired algorithm for global optimization , 2015, Neural Computing and Applications.
[34] Tansel Dökeroglu,et al. A survey on new generation metaheuristic algorithms , 2019, Comput. Ind. Eng..
[35] Dervis Karaboga,et al. Artificial bee colony algorithm for large-scale problems and engineering design optimization , 2012, J. Intell. Manuf..
[36] MirjaliliSeyedali. Moth-flame optimization algorithm , 2015 .
[37] Hossam Faris,et al. Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems , 2017, Adv. Eng. Softw..
[38] Satvir Singh,et al. Butterfly optimization algorithm: a novel approach for global optimization , 2018, Soft Computing.
[39] Andrew Lewis,et al. Grey Wolf Optimizer , 2014, Adv. Eng. Softw..
[40] Ahmad Hakimi,et al. Ideal Gas Optimization Algorithm , 2017 .
[41] Arun Kumar Sangaiah,et al. Metaheuristic Algorithms: A Comprehensive Review , 2018 .
[42] S. Shadravan,et al. The Sailfish Optimizer: A novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems , 2019, Eng. Appl. Artif. Intell..
[43] Nurettin Cetinkaya,et al. A new meta-heuristic optimizer: Pathfinder algorithm , 2019, Appl. Soft Comput..
[44] Yong Wang,et al. Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization , 2010, Appl. Soft Comput..
[45] Siamak Talatahari,et al. An improved ant colony optimization for constrained engineering design problems , 2010 .
[46] Vivek K. Patel,et al. Heat transfer search (HTS): a novel optimization algorithm , 2015, Inf. Sci..
[47] Xin-She Yang,et al. Bat algorithm: a novel approach for global engineering optimization , 2012, 1211.6663.
[48] Masoud Ebrahimi,et al. A new metaheuristic football game inspired algorithm , 2016, 2016 1st Conference on Swarm Intelligence and Evolutionary Computation (CSIEC).
[49] Vijander Singh,et al. A novel nature-inspired algorithm for optimization: Squirrel search algorithm , 2019, Swarm Evol. Comput..
[50] Amir H. Gandomi,et al. Marine Predators Algorithm: A nature-inspired metaheuristic , 2020, Expert Syst. Appl..
[51] A. Kaveh,et al. A novel meta-heuristic optimization algorithm: Thermal exchange optimization , 2017, Adv. Eng. Softw..
[52] Hui Zhao,et al. A novel nature-inspired algorithm for optimization: Virus colony search , 2016, Adv. Eng. Softw..
[53] Gaurav Dhiman,et al. Spotted hyena optimizer: A novel bio-inspired based metaheuristic technique for engineering applications , 2017, Adv. Eng. Softw..
[54] Carlos A. Coello Coello,et al. Use of a self-adaptive penalty approach for engineering optimization problems , 2000 .
[55] Eneko Osaba,et al. A novel meta-heuristic based on soccer concepts to solve routing problems , 2013, GECCO '13 Companion.