Solving Logistics Distribution Center Location with Improved Cuckoo Search Algorithm
暂无分享,去创建一个
Gaige Wang | Hong Lei | Juan Li | Yuan-Hua Yang | Gaige Wang | Juan Li | Yuanxun Yang | Hong Lei
[1] Riccardo Poli,et al. Particle swarm optimization , 1995, Swarm Intelligence.
[2] Xin-She Yang,et al. Design optimization of truss structures using cuckoo search algorithm , 2013 .
[3] Gaige Wang,et al. Moth search algorithm: a bio-inspired metaheuristic algorithm for global optimization problems , 2016, Memetic Computing.
[4] Fan Wang,et al. Hybrid optimization algorithm of PSO and Cuckoo Search , 2011, 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC).
[5] Gaige Wang,et al. Dynamic Deployment of Wireless Sensor Networks by Biogeography Based Optimization Algorithm , 2012, J. Sens. Actuator Networks.
[6] Andrew Lewis,et al. Let a biogeography-based optimizer train your Multi-Layer Perceptron , 2014, Inf. Sci..
[7] Wei Zhao,et al. Test-Sheet Composition Using Analytic Hierarchy Process and Hybrid Metaheuristic Algorithm TS/BBO , 2012 .
[8] Juan Li,et al. Multi-Swarm Cuckoo Search Algorithm with Q-Learning Model , 2020, Comput. J..
[9] Mohammad Reza Meybodi,et al. History-driven firefly algorithm for optimisation in dynamic and uncertain environments , 2016, Int. J. Bio Inspired Comput..
[10] Gai-Ge Wang,et al. A New Improved Firefly Algorithm for Global Numerical Optimization , 2014 .
[11] Amir Hossein Alavi,et al. Behavior of crossover operators in NSGA-III for large-scale optimization problems , 2020, Inf. Sci..
[12] Hans-Georg Beyer,et al. The Theory of Evolution Strategies , 2001, Natural Computing Series.
[13] Zhihua Cui,et al. Monarch butterfly optimization , 2015, Neural Computing and Applications.
[14] Juan Li,et al. An improved cuckoo search algorithm with self-adaptive knowledge learning , 2019, Neural Computing and Applications.
[15] Amir Hossein Alavi,et al. Krill herd: A new bio-inspired optimization algorithm , 2012 .
[16] J. Paulo Davim,et al. Firefly Algorithm , 2019, Optimizing Engineering Problems through Heuristic Techniques.
[17] Wenbo Xu,et al. Particle swarm optimization with particles having quantum behavior , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[18] Xin-She Yang,et al. Engineering optimisation by cuckoo search , 2010, Int. J. Math. Model. Numer. Optimisation.
[19] Harish Garg,et al. A hybrid GSA-GA algorithm for constrained optimization problems , 2019, Inf. Sci..
[20] Harish Garg,et al. Multi-objective optimization problem of system reliability under intuitionistic fuzzy set environment using Cuckoo Search algorithm , 2015, J. Intell. Fuzzy Syst..
[21] Luo Liu,et al. A hybrid meta-heuristic DE/CS Algorithm for UCAV path planning , 2012 .
[22] Xin-She Yang,et al. Firefly algorithm, stochastic test functions and design optimisation , 2010, Int. J. Bio Inspired Comput..
[23] Gai-Ge Wang,et al. Binary Moth Search Algorithm for Discounted {0-1} Knapsack Problem , 2018, IEEE Access.
[24] Juan Li,et al. Dynamic cuckoo search algorithm based on Taguchi opposition-based search , 2019, Int. J. Bio Inspired Comput..
[25] Suash Deb,et al. Monarch butterfly optimization: A comprehensive review , 2021, Expert Syst. Appl..
[26] Jiujun Cheng,et al. A Multiple Diversity-Driven Brain Storm Optimization Algorithm With Adaptive Parameters , 2019, IEEE Access.
[27] Xin-She Yang,et al. Nature-Inspired Metaheuristic Algorithms , 2008 .
[28] Ammar Mansoor Kamoona,et al. A novel enhanced cuckoo search algorithm for contrast enhancement of gray scale images , 2019, Appl. Soft Comput..
[29] Hamed Shah-Hosseini,et al. The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm , 2009, Int. J. Bio Inspired Comput..
[30] Suash Deb,et al. A Novel Monarch Butterfly Optimization with Greedy Strategy and Self-Adaptive , 2015, 2015 Second International Conference on Soft Computing and Machine Intelligence (ISCMI).
[31] Wenbin Li,et al. Multi-strategy monarch butterfly optimization algorithm for discounted {0-1} knapsack problem , 2017, Neural Computing and Applications.
[32] Dalila Boughaci,et al. A self-adaptive harmony search combined with a stochastic local search for the 0-1 multidimensional knapsack problem , 2016, Int. J. Bio Inspired Comput..
[33] Yuhui Shi,et al. Multi-Objective Optimization Based on Brain Storm Optimization Algorithm , 2013, Int. J. Swarm Intell. Res..
[34] Dervis Karaboga,et al. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm , 2007, J. Glob. Optim..
[35] Dorothea Heiss-Czedik,et al. An Introduction to Genetic Algorithms. , 1997, Artificial Life.
[36] Gaige Wang,et al. An improved bat algorithm with variable neighborhood search for global optimization , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).
[37] Amir Hossein Gandomi,et al. Chaotic cuckoo search , 2015, Soft Computing.
[38] Amir Hossein Gandomi,et al. Chaotic Krill Herd algorithm , 2014, Inf. Sci..
[39] Ying Tan,et al. Improving Metaheuristic Algorithms With Information Feedback Models , 2019, IEEE Transactions on Cybernetics.
[40] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[41] Wang Yan. The cuckoo search algorithm based on Gaussian disturbance , 2011 .
[42] Jiujun Cheng,et al. Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction , 2019, IEEE Transactions on Neural Networks and Learning Systems.
[43] Xiangtao Li,et al. Enhancing the performance of cuckoo search algorithm using orthogonal learning method , 2013, Neural Computing and Applications.
[44] Jie-sheng Wang,et al. An Improved dynamic self-adaption cuckoo search algorithm based on collaboration between subpopulations , 2018, Neural Computing and Applications.
[45] Ardeshir Bahreininejad,et al. Water cycle algorithm - A novel metaheuristic optimization method for solving constrained engineering optimization problems , 2012 .
[46] Amir Hossein Gandomi,et al. Hybridizing harmony search algorithm with cuckoo search for global numerical optimization , 2014, Soft Computing.
[47] Juan Wang,et al. Chaos-enhanced Cuckoo search optimization algorithms for global optimization , 2016 .
[48] Ragab A. El-Sehiemy,et al. A novel fruit fly framework for multi-objective shape design of tubular linear synchronous motor , 2017, The Journal of Supercomputing.
[49] Bo Yang,et al. Modified cuckoo search algorithm for the optimal placement of actuators problem , 2018, Appl. Soft Comput..
[50] Taher Niknam,et al. Optimal energy management of smart renewable micro-grids in the reconfigurable systems using adaptive harmony search algorithm , 2016, Int. J. Bio Inspired Comput..
[51] Zhihua Cui,et al. A new monarch butterfly optimization with an improved crossover operator , 2016, Operational Research.
[52] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[53] Hamid R. Tizhoosh,et al. Opposition-Based Learning: A New Scheme for Machine Intelligence , 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).
[54] Luo Liu,et al. Hybridizing harmony search with biogeography based optimization for global numerical optimization , 2013 .
[55] Amir Hossein Gandomi,et al. Bat algorithm for constrained optimization tasks , 2012, Neural Computing and Applications.
[56] Guy Littlefair,et al. Free Search - a comparative analysis , 2005, Inf. Sci..
[57] 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.
[58] Aderemi Oluyinka Adewumi,et al. On the performance of particle swarm optimisation with(out) some control parameters for global optimisation , 2016, Int. J. Bio Inspired Comput..
[59] Harish Garg,et al. A hybrid PSO-GA algorithm for constrained optimization problems , 2016, Appl. Math. Comput..
[60] Dan Simon,et al. Biogeography-Based Optimization , 2022 .
[61] Xin-She Yang,et al. Binary bat algorithm , 2013, Neural Computing and Applications.
[62] Ying Tan,et al. Fireworks Algorithm: A Novel Swarm Intelligence Optimization Method , 2015 .
[63] Amir H. Gandomi,et al. A Survey of Learning-Based Intelligent Optimization Algorithms , 2021, Archives of Computational Methods in Engineering.
[64] Xin-She Yang,et al. Cuckoo Search via Lévy flights , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).
[65] MengChu Zhou,et al. Bi-objective Elite Differential Evolution Algorithm for Multivalued Logic Networks , 2020, IEEE Transactions on Cybernetics.
[66] Thomas Bäck,et al. Parallel Problem Solving from Nature — PPSN V , 1998, Lecture Notes in Computer Science.
[67] Amir Hossein Alavi,et al. A comprehensive review of krill herd algorithm: variants, hybrids and applications , 2017, Artificial Intelligence Review.
[68] Gaige Wang,et al. A multi-swarm bat algorithm for global optimization , 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).
[69] Yuhui Shi,et al. An Optimization Algorithm Based on Brainstorming Process , 2011, Int. J. Swarm Intell. Res..
[70] Seyedali Mirjalili,et al. Three-dimensional path planning for UCAV using an improved bat algorithm , 2016 .
[71] Shumeet Baluja,et al. A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning , 1994 .
[72] Hong Duan,et al. Path Planning for Uninhabited Combat Aerial Vehicle Using Hybrid Meta-Heuristic DE/BBO Algorithm , 2012 .
[73] Harish Garg,et al. An approach for solving constrained reliability-redundancy allocation problems using cuckoo search algorithm , 2015 .
[74] Juan Li,et al. Elephant Herding Optimization: Variants, Hybrids, and Applications , 2020, Mathematics.
[75] Suash Deb,et al. Solving 0–1 knapsack problem by a novel binary monarch butterfly optimization , 2017, Neural Computing and Applications.
[76] Jiujun Cheng,et al. Chaotic Local Search-Based Differential Evolution Algorithms for Optimization , 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[77] A. Gandomi. Interior search algorithm (ISA): a novel approach for global optimization. , 2014, ISA transactions.
[78] Adnan Acan,et al. Probability collectives hybridised with differential evolution for global optimisation , 2016, Int. J. Bio Inspired Comput..
[79] LiXiangtao,et al. Modified cuckoo search algorithm with self adaptive parameter method , 2015 .
[80] Ponnuthurai N. Suganthan,et al. A hybrid cuckoo search algorithm in parallel batch processing machines with unequal job ready times , 2018, Comput. Ind. Eng..
[81] A. Gandomi,et al. Mixed variable structural optimization using Firefly Algorithm , 2011 .
[82] Kusum Deep,et al. Spider monkey optimization algorithm for constrained optimization problems , 2016, Soft Computing.
[83] Yu Liu,et al. A New Bio-inspired Algorithm: Chicken Swarm Optimization , 2014, ICSI.
[84] Xin-She Yang,et al. Bat algorithm: a novel approach for global engineering optimization , 2012, 1211.6663.
[85] Gaige Wang,et al. A Novel Hybrid Bat Algorithm with Harmony Search for Global Numerical Optimization , 2013, J. Appl. Math..
[86] Bijaya K. Panigrahi,et al. Meta-heuristic framework: Quantum inspired binary grey wolf optimizer for unit commitment problem , 2017, Comput. Electr. Eng..
[87] Andrés Iglesias,et al. New memetic self-adaptive firefly algorithm for continuous optimisation , 2016 .
[88] Peter J. Fleming,et al. The Stud GA: A Mini Revolution? , 1998, PPSN.
[89] Gai-Ge Wang,et al. A modified firefly algorithm for UCAV path planning , 2012 .
[90] A. Gandomi,et al. A novel improved accelerated particle swarm optimization algorithm for global numerical optimization , 2014 .
[91] Witold Pedrycz,et al. Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism , 2020, IEEE Transactions on Fuzzy Systems.
[92] Harish Garg,et al. An efficient biogeography based optimization algorithm for solving reliability optimization problems , 2015, Swarm Evol. Comput..
[93] Zong Woo Geem,et al. A New Heuristic Optimization Algorithm: Harmony Search , 2001, Simul..
[94] Manuel López-Ibáñez,et al. Ant colony optimization , 2010, GECCO '10.