MTGWA: A Multithreaded Gray Wolf Algorithm with Strategies Based on Simulated Annealing and Genetic Algorithms

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

[2]  Dervis Karaboga,et al.  A comprehensive survey: artificial bee colony (ABC) algorithm and applications , 2012, Artificial Intelligence Review.

[3]  Russell C. Eberhart,et al.  A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.

[4]  Songjin Xu,et al.  A novel grey wolf optimizer for global optimization problems , 2016, 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC).

[5]  Tiesong Hu,et al.  An Improved Particle Swarm Optimization Algorithm , 2007, 2011 International Conference on Electronics, Communications and Control (ICECC).

[6]  Robiah Ahmad,et al.  A New Modified Firefly Algorithm for Optimizing a Supply Chain Network Problem , 2018, Applied Sciences.

[7]  Mohamed Boudour,et al.  A Brief Review and Comparative Study of Nature-Inspired Optimization Algorithms Applied to Power System Control , 2018, Natural Computing for Unsupervised Learning.

[8]  Xin-She Yang,et al.  Nature-Inspired Optimization Algorithms in Engineering: Overview and Applications , 2016, Nature-Inspired Computation in Engineering.

[9]  Christos Koulamas,et al.  A survey of simulated annealing applications to operations research problems , 1994 .

[10]  S. Akhtar,et al.  A Metaheuristic Bat-Inspired Algorithm for Full Body Human Pose Estimation , 2012, 2012 Ninth Conference on Computer and Robot Vision.

[11]  Sunil Kumar Kashyap,et al.  On firefly algorithm: optimization and application in mobile robot navigation , 2017 .

[12]  R. Coppinger,et al.  Wolf-pack (Canis lupus) hunting strategies emerge from simple rules in computational simulations , 2011, Behavioural Processes.

[13]  Jie-Sheng Wang,et al.  An Improved Grey Wolf Optimizer Based on Differential Evolution and Elimination Mechanism , 2019, Scientific Reports.

[14]  Andrew Lewis,et al.  Grey Wolf Optimizer , 2014, Adv. Eng. Softw..

[15]  Arun Kumar Sangaiah,et al.  An improved ant colony optimization for the multi-trip Capacitated Arc Routing Problem , 2018, Comput. Electr. Eng..

[16]  Marco Dorigo,et al.  Ant colony optimization theory: A survey , 2005, Theor. Comput. Sci..

[17]  Debahuti Mishra,et al.  A New Meta-heuristic Bat Inspired Classification Approach for Microarray Data , 2012 .

[18]  Lester Ingber,et al.  Simulated annealing: Practice versus theory , 1993 .

[19]  Kathryn A. Dowsland,et al.  Simulated Annealing , 1989, Encyclopedia of GIS.

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

[21]  Sheldon Howard Jacobson,et al.  The Theory and Practice of Simulated Annealing , 2003, Handbook of Metaheuristics.

[22]  Gai-Ge Wang,et al.  A New Improved Firefly Algorithm for Global Numerical Optimization , 2014 .

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

[24]  Jing J. Liang,et al.  Novel composition test functions for numerical global optimization , 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..

[25]  Felix Martinez-Rios,et al.  A new swarm algorithm for global optimization of multimodal functions over multi-threading architecture hybridized with simulating annealing , 2018, ICCSCI.

[26]  Tao Jiang,et al.  An improved particle swarm optimization algorithm for reliability-redundancy allocation problem with mixed redundancy strategy and heterogeneous components , 2019, Reliab. Eng. Syst. Saf..

[27]  R. Tripp,et al.  Generation of H7N9-specific human polyclonal antibodies from a transchromosomic goat (caprine) system , 2019, Scientific Reports.

[28]  Xifan Yao,et al.  An individual dependent multi-colony artificial bee colony algorithm , 2019, Inf. Sci..

[29]  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).

[30]  Christian Blum,et al.  An ant colony optimization algorithm for continuous optimization: application to feed-forward neural network training , 2007, Neural Computing and Applications.

[31]  Felix Martinez-Rios,et al.  Packing algorithm inspired by gravitational and electromagnetic effects , 2020, Wirel. Networks.