A new hybrid chaotic atom search optimization based on tree-seed algorithm and Levy flight for solving optimization problems

[1]  Ivan Reinaldo Meneghini,et al.  Scalable and Customizable Benchmark Problems for Many-Objective Optimization , 2020, Appl. Soft Comput..

[2]  Liying Wang,et al.  Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications , 2020, Eng. Appl. Artif. Intell..

[3]  Seyedali Mirjalili,et al.  Henry gas solubility optimization: A novel physics-based algorithm , 2019, Future Gener. Comput. Syst..

[4]  Zichen Zhang,et al.  A hybrid optimization algorithm based on cuckoo search and differential evolution for solving constrained engineering problems , 2019, Eng. Appl. Artif. Intell..

[5]  Weiguo Zhao,et al.  Artificial ecosystem-based optimization: a novel nature-inspired meta-heuristic algorithm , 2019, Neural Computing and Applications.

[6]  Qiang Kang,et al.  Hybrid biogeography-based optimization with shuffled frog leaping algorithm and its application to minimum spanning tree problems , 2019, Swarm Evol. Comput..

[7]  Hossam Faris,et al.  Harris hawks optimization: Algorithm and applications , 2019, Future Gener. Comput. Syst..

[8]  Sankalap Arora,et al.  Chaotic grasshopper optimization algorithm for global optimization , 2019, Neural Computing and Applications.

[9]  Gaurav Dhiman,et al.  ESA: a hybrid bio-inspired metaheuristic optimization approach for engineering problems , 2019, Engineering with Computers.

[10]  Mohammad Masdari,et al.  CDABC: chaotic discrete artificial bee colony algorithm for multi-level clustering in large-scale WSNs , 2019, The Journal of Supercomputing.

[11]  Amandeep Kaur,et al.  STOA: A bio-inspired based optimization algorithm for industrial engineering problems , 2019, Eng. Appl. Artif. Intell..

[12]  Seyed Mohammad Mirjalili,et al.  A hyper-heuristic for improving the initial population of whale optimization algorithm , 2019, Knowl. Based Syst..

[13]  Heming Jia,et al.  Hybrid Grasshopper Optimization Algorithm and Differential Evolution for Multilevel Satellite Image Segmentation , 2019, Remote. Sens..

[14]  Selinda J Orr,et al.  Pattern recognition receptors in fungal immunity , 2019, Seminars in cell & developmental biology.

[15]  Nurettin Cetinkaya,et al.  A new meta-heuristic optimizer: Pathfinder algorithm , 2019, Appl. Soft Comput..

[16]  S. Shadravan,et al.  The Sailfish Optimizer: A novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems , 2019, Eng. Appl. Artif. Intell..

[17]  Sebastiao Simões da Cunha,et al.  A sunflower optimization (SFO) algorithm applied to damage identification on laminated composite plates , 2019, Engineering with Computers.

[18]  Harpreet Singh,et al.  A New Hybrid Algorithm Based on Grey Wolf Optimization and Crow Search Algorithm for Unconstrained Function Optimization and Feature Selection , 2019, IEEE Access.

[19]  Vijander Singh,et al.  A novel nature-inspired algorithm for optimization: Squirrel search algorithm , 2019, Swarm Evol. Comput..

[20]  Vijay Kumar,et al.  Seagull optimization algorithm: Theory and its applications for large-scale industrial engineering problems , 2019, Knowl. Based Syst..

[21]  Alberto Traverso,et al.  Dynamic economic dispatch using complementary quadratic programming , 2019, Energy.

[22]  Patrick Jaillet,et al.  Online Vehicle Routing: The Edge of Optimization in Large-Scale Applications , 2019, Oper. Res..

[23]  Zhenxing Zhang,et al.  Atom search optimization and its application to solve a hydrogeologic parameter estimation problem , 2019, Knowl. Based Syst..

[24]  Bishwajit Dey,et al.  Robust Economic Dispatch of Microgrid With Highly Penetrated Renewables and Energy Storage System , 2019, Int. J. Energy Optim. Eng..

[25]  Laxmi Chaudhary,et al.  Community Detection Using an Enhanced Louvain Method in Complex Networks , 2018, ICDCIT.

[26]  Marco Tomassini,et al.  An Introduction to Metaheuristics for Optimization , 2018, Natural Computing Series.

[27]  Vijay Kumar,et al.  Emperor penguin optimizer: A bio-inspired algorithm for engineering problems , 2018, Knowl. Based Syst..

[28]  Farhad Soleimanian Gharehchopogh,et al.  Farmland fertility: A new metaheuristic algorithm for solving continuous optimization problems , 2018, Appl. Soft Comput..

[29]  Songfeng Lu,et al.  Chaotic opposition-based grey-wolf optimization algorithm based on differential evolution and disruption operator for global optimization , 2018, Expert Syst. Appl..

[30]  Yuvraj Gajpal,et al.  Ant Colony Algorithm for Routing Alternate Fuel Vehicles in Multi-depot Vehicle Routing Problem , 2018, Decision Science in Action.

[31]  Xia Wang,et al.  A novel hybrid algorithm based on Biogeography-Based Optimization and Grey Wolf Optimizer , 2018, Appl. Soft Comput..

[32]  Ayhan Nuhoglu,et al.  Interactive search algorithm: A new hybrid metaheuristic optimization algorithm , 2018, Eng. Appl. Artif. Intell..

[33]  Ibrahim Berkan Aydilek.  A hybrid firefly and particle swarm optimization algorithm for computationally expensive numerical problems , 2018, Appl. Soft Comput..

[34]  Anouar Farah,et al.  A novel chaotic Jaya algorithm for unconstrained numerical optimization , 2018, Nonlinear Dynamics.

[35]  Anand Jayant Kulkarni,et al.  Socio evolution & learning optimization algorithm: A socio-inspired optimization methodology , 2018, Future Gener. Comput. Syst..

[36]  Satvir Singh,et al.  Butterfly optimization algorithm: a novel approach for global optimization , 2018, Soft Computing.

[37]  Mohamed H. Haggag,et al.  A novel chaotic salp swarm algorithm for global optimization and feature selection , 2018, Applied Intelligence.

[38]  Dumitru Baleanu,et al.  A new hybrid algorithm for continuous optimization problem , 2018 .

[39]  Hossam Faris,et al.  Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems , 2017, Adv. Eng. Softw..

[40]  Gaurav Dhiman,et al.  Spotted hyena optimizer: A novel bio-inspired based metaheuristic technique for engineering applications , 2017, Adv. Eng. Softw..

[41]  Seyed-Alireza Ahmadi,et al.  Human behavior-based optimization: a novel metaheuristic approach to solve complex optimization problems , 2017, Neural Computing and Applications.

[42]  Soheyl Khalilpourazari,et al.  An efficient hybrid algorithm based on Water Cycle and Moth-Flame Optimization algorithms for solving numerical and constrained engineering optimization problems , 2017, Soft Computing.

[43]  Majdi M. Mafarja,et al.  Hybrid Whale Optimization Algorithm with simulated annealing for feature selection , 2017, Neurocomputing.

[44]  Erik Valdemar Cuevas Jiménez,et al.  A global optimization algorithm inspired in the behavior of selfish herds , 2017, Biosyst..

[45]  S. J. Mousavirad,et al.  Human mental search: a new population-based metaheuristic optimization algorithm , 2017, Applied Intelligence.

[46]  Zhongliang Deng,et al.  An improved sine cosine algorithm based on levy flight , 2017, International Conference on Digital Image Processing.

[47]  Mohamed A. Tawhid,et al.  A hybrid particle swarm optimization and genetic algorithm with population partitioning for large scale optimization problems , 2017 .

[48]  Danielle S Bassett,et al.  Multi-scale detection of hierarchical community architecture in structural and functional brain networks , 2017, PloS one.

[49]  V. Mukherjee,et al.  A novel chaos-integrated symbiotic organisms search algorithm for global optimization , 2017, Soft Computing.

[50]  Andrew Lewis,et al.  Grasshopper Optimisation Algorithm: Theory and application , 2017, Adv. Eng. Softw..

[51]  Osama Abdel Raouf,et al.  Sperm motility algorithm: a novel metaheuristic approach for global optimisation , 2017 .

[52]  Emad Nabil,et al.  A Modified Flower Pollination Algorithm for Global Optimization , 2016, Expert Syst. Appl..

[53]  Yu Liu,et al.  A new bio-inspired optimisation algorithm: Bird Swarm Algorithm , 2016, J. Exp. Theor. Artif. Intell..

[54]  G. Wiselin Jiji,et al.  An enhanced particle swarm optimization with levy flight for global optimization , 2016, Appl. Soft Comput..

[55]  Andrew Lewis,et al.  The Whale Optimization Algorithm , 2016, Adv. Eng. Softw..

[56]  Seyedali Mirjalili,et al.  SCA: A Sine Cosine Algorithm for solving optimization problems , 2016, Knowl. Based Syst..

[57]  Dayang N. A. Jawawi,et al.  Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm , 2016, Swarm Evol. Comput..

[58]  Mehmet Polat Saka,et al.  Design optimization of real world steel space frames using artificial bee colony algorithm with Levy flight distribution , 2016, Adv. Eng. Softw..

[59]  Vivek K. Patel,et al.  Heat transfer search (HTS): a novel optimization algorithm , 2015, Inf. Sci..

[60]  Mustafa Servet Kiran,et al.  TSA: Tree-seed algorithm for continuous optimization , 2015, Expert Syst. Appl..

[61]  Seyed Mohammad Mirjalili,et al.  Ions motion algorithm for solving optimization problems , 2015, Appl. Soft Comput..

[62]  Leandro Fleck Fadel Miguel,et al.  Search group algorithm , 2015 .

[63]  Seyed Mohammad Mirjalili,et al.  The Ant Lion Optimizer , 2015, Adv. Eng. Softw..

[64]  Tamer Ölmez,et al.  A new metaheuristic for numerical function optimization: Vortex Search algorithm , 2015, Inf. Sci..

[65]  Naser Moosavian,et al.  Soccer league competition algorithm for solving knapsack problems , 2015, Swarm Evol. Comput..

[66]  Abdolreza Hatamlou,et al.  Black hole: A new heuristic optimization approach for data clustering , 2013, Inf. Sci..

[67]  A. Kaveh,et al.  A new meta-heuristic method: Ray Optimization , 2012 .

[68]  Maurice Clerc,et al.  Hybridization of Differential Evolution and Particle Swarm Optimization in a New Algorithm: DEPSO-2S , 2012, ICAISC.

[69]  R. Venkata Rao,et al.  Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems , 2011, Comput. Aided Des..

[70]  Zhihua Cui,et al.  Social Emotional Optimization Algorithm for Nonlinear Constrained Optimization Problems , 2010, SEMCCO.

[71]  M. J. Mahjoob,et al.  A novel meta-heuristic optimization algorithm inspired by group hunting of animals: Hunting search , 2010, Comput. Math. Appl..

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

[73]  Hossein Nezamabadi-pour,et al.  GSA: A Gravitational Search Algorithm , 2009, Inf. Sci..

[74]  Andries Petrus Engelbrecht,et al.  Measuring exploration/exploitation in particle swarms using swarm diversity , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

[75]  Caro Lucas,et al.  Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition , 2007, 2007 IEEE Congress on Evolutionary Computation.

[76]  Markus Neuhäuser,et al.  Wilcoxon Signed Rank Test , 2006 .

[77]  Pei-wei Tsai,et al.  Cat Swarm Optimization , 2006, PRICAI.

[78]  Tapabrata Ray,et al.  Society and civilization: An optimization algorithm based on the simulation of social behavior , 2003, IEEE Trans. Evol. Comput..

[79]  P. Mal,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[80]  Zong Woo Geem,et al.  A New Heuristic Optimization Algorithm: Harmony Search , 2001, Simul..

[81]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[82]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[83]  E. Latz,et al.  Pattern Recognition Receptors in Autoinflammation , 2019, Textbook of Autoinflammation.

[84]  Haitao Liu,et al.  A multi-response adaptive sampling approach for global metamodeling , 2018 .

[85]  Ravi Kumar Jatoth,et al.  Hybridizing sine cosine algorithm with differential evolution for global optimization and object tracking , 2018, Appl. Soft Comput..

[86]  Marco Tomassini,et al.  Problems, Algorithms, and Computational Complexity , 2018 .

[87]  Naindar Afdanny,et al.  Killer Whale Algorithm: An Algorithm Inspired by the Life of Killer Whale , 2017 .

[88]  Satvir Singh,et al.  An Effective Hybrid Butterfly Optimization Algorithm with Artificial Bee Colony for Numerical Optimization , 2017, Int. J. Interact. Multim. Artif. Intell..

[89]  Salwani Abdullah,et al.  Kidney-inspired algorithm for optimization problems , 2017, Commun. Nonlinear Sci. Numer. Simul..

[90]  K. P. Singh,et al.  Optimization of thermo hydraulic performance in three sides artificially roughened solar air heaters , 2015 .

[91]  P. Suganthan,et al.  Problem Definitions and Evaluation Criteria for the CEC 2014 Special Session and Competition on Single Objective Real-Parameter Numerical Optimization , 2014 .

[92]  Adel Sabry Eesa,et al.  Cuttlefish Algorithm – A Novel Bio-Inspired Optimization Algorithm , 2014 .

[93]  Huosheng Hu,et al.  Ant Robotic Swarm for Visualizing Invisible Hazardous Substances , 2013, Robotics.

[94]  Ponnuthurai Nagaratnam Suganthan,et al.  Benchmark Functions for the CEC'2013 Special Session and Competition on Large-Scale Global Optimization , 2008 .

[95]  Jing J. Liang,et al.  Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization , 2005 .

[96]  J. S. Saini,et al.  Optimal thermohydraulic performance of artificially roughened solar air heaters , 1991 .