Improvement and Hybridization of Intelligent Optimization Algorithm
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[1] A. Valente,et al. Development of multi-level adaptive control and scheduling solutions for shop-floor automation in reconfigurable manufacturing systems , 2011 .
[2] Mehmet Fatih Tasgetiren,et al. A variable iterated greedy algorithm with differential evolution for the no-idle permutation flowshop scheduling problem , 2013, Comput. Oper. Res..
[3] Fuqing Zhao,et al. A hybrid particle swarm optimisation algorithm and fuzzy logic for process planning and production scheduling integration in holonic manufacturing systems , 2010, Int. J. Comput. Integr. Manuf..
[4] Bor-Tsuen Lin,et al. Adaptive network-based fuzzy inference system for prediction of surface roughness in end milling process using hybrid Taguchi-genetic learning algorithm , 2009, Expert Syst. Appl..
[5] Mark Sumner,et al. A Fast Adaptive Memetic Algorithm for Online and Offline Control Design of PMSM Drives , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[6] Hao Zhang,et al. A hybrid multi-objective artificial bee colony algorithm for burdening optimization of copper strip production , 2012 .
[7] Andrea Fumi,et al. The Effect of Slot-Code Optimization in Warehouse Order Picking , 2013 .
[8] Sankha Deb,et al. Scheduling optimization of flexible manufacturing system using cuckoo search-based approach , 2013 .
[9] David Pisinger,et al. A hybrid adaptive large neighborhood search heuristic for lot-sizing with setup times , 2012, Eur. J. Oper. Res..
[10] Rasoul Shafaei,et al. No-wait two stage hybrid flow shop scheduling with genetic and adaptive imperialist competitive algorithms , 2013, J. Exp. Theor. Artif. Intell..
[11] P. K. Chattopadhyay,et al. Biogeography-Based Optimization for Different Economic Load Dispatch Problems , 2010, IEEE Transactions on Power Systems.
[12] Fei Tao,et al. A Ranking Chaos Algorithm for dual scheduling of cloud service and computing resource in private cloud , 2013, Comput. Ind..
[13] Cheng-Chien Kuo,et al. A Novel Coding Scheme for Practical Economic Dispatch by Modified Particle Swarm Approach , 2008, IEEE Transactions on Power Systems.
[14] Ali Azadeh,et al. Design and implementation of an integrated Taguchi method for continuous assessment and improvement of manufacturing systems , 2011, The International Journal of Advanced Manufacturing Technology.
[15] Huan Ming Yao,et al. A Novel Evolutionary Algorithm with Improved Genetic Operator and Crossover Strategy , 2013 .
[16] Chiung Moon,et al. Hybrid genetic algorithm with adaptive local search scheme for solving multistage-based supply chain problems , 2009, Comput. Ind. Eng..
[17] Xiaodong Li,et al. Initialization methods for large scale global optimization , 2013, 2013 IEEE Congress on Evolutionary Computation.
[18] Ali R. Yildiz,et al. An effective hybrid immune-hill climbing optimization approach for solving design and manufacturing optimization problems in industry , 2009 .
[19] Ali M. S. Zalzala,et al. Recent developments in evolutionary computation for manufacturing optimization: problems, solutions, and comparisons , 2000, IEEE Trans. Evol. Comput..
[20] Wenhe Liao,et al. Multi-objective optimization of multi-pass face milling using particle swarm intelligence , 2011 .
[21] Ali R. Yildiz,et al. Hybrid immune-simulated annealing algorithm for optimal design and manufacturing , 2009 .
[22] Ali R. Yildiz,et al. Optimization of cutting parameters in multi-pass turning using artificial bee colony-based approach , 2013, Inf. Sci..
[23] Cong Lu,et al. An assembly sequence planning approach with a discrete particle swarm optimization algorithm , 2010 .
[24] Günther R. Raidi. A unified view on hybrid metaheuristics , 2006 .
[25] Qian Li,et al. Optimization of injection molding process parameters using combination of artificial neural network and genetic algorithm method , 2007 .
[26] Xiaoping Li,et al. Hybrid genetic algorithm for permutation flowshop scheduling problems with total flowtime minimization , 2009, Eur. J. Oper. Res..
[27] Sung-Sam Hong,et al. Improved WTA problem solving method using a parallel genetic algorithm which applied the RMI initialization method , 2012, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems.
[28] G. Moslehi,et al. A Pareto approach to multi-objective flexible job-shop scheduling problem using particle swarm optimization and local search , 2011 .
[29] Quan-Ke Pan,et al. An effective hybrid tabu search algorithm for multi-objective flexible job-shop scheduling problems , 2010, Comput. Ind. Eng..
[30] Sebastián Lozano,et al. Metaheuristic optimization frameworks: a survey and benchmarking , 2011, Soft Computing.
[31] N. Tahir,et al. Optimizing filter parameters using Particle Swarm Optimization , 2010, 2010 6th International Colloquium on Signal Processing & its Applications.
[32] S. G. Deshmukh,et al. FMS scheduling with knowledge based genetic algorithm approach , 2011, Expert Syst. Appl..
[33] Francisco Herrera,et al. Analysis of new niching genetic algorithms for finding multiple solutions in the job shop scheduling , 2012, J. Intell. Manuf..
[34] Tai-Hsi Wu,et al. A hybrid heuristic algorithm adopting both Boltzmann function and mutation operator for manufacturing cell formation problems , 2009 .
[35] Amy J. C. Trappey,et al. Genetic algorithm dynamic performance evaluation for RFID reverse logistic management , 2010, Expert Syst. Appl..
[36] Yin-Fu Huang,et al. Self-adaptive harmony search algorithm for optimization , 2010, Expert Syst. Appl..
[37] Ali Husseinzadeh Kashan,et al. A differential evolution algorithm for the manufacturing cell formation problem using group based operators , 2010, Expert Syst. Appl..
[38] P. J. Pawar,et al. Parameter optimization of a multi-pass milling process using non-traditional optimization algorithms , 2010, Appl. Soft Comput..
[39] Shudong Sun,et al. Theory of constraints product mix optimisation based on immune algorithm , 2009 .
[40] Uday S. Dixit,et al. Application of soft computing techniques in machining performance prediction and optimization: a literature review , 2010 .
[41] Zafer Bingul,et al. Application of heuristic and hybrid-GASA algorithms to tool-path optimization problem for minimizing airtime during machining , 2009, Eng. Appl. Artif. Intell..
[42] Alejandro C. Olivieri,et al. Wavelength Selection for Multivariate Calibration Using a Genetic Algorithm: A Novel Initialization Strategy , 2002, J. Chem. Inf. Comput. Sci..
[43] Adil Baykasoglu,et al. Hybridizing ant colony optimization via genetic algorithm for mixed-model assembly line balancing problem with sequence dependent setup times between tasks , 2013, Appl. Soft Comput..
[44] Min Xie,et al. Some improvements on adaptive genetic algorithms for reliability-related applications , 2010, Reliab. Eng. Syst. Saf..
[45] Orlando Durán,et al. Collaborative particle swarm optimization with a data mining technique for manufacturing cell design , 2010, Expert Syst. Appl..
[46] Andrew Y. C. Nee,et al. A quantum multi-agent evolutionary algorithm for selection of partners in a virtual enterprise , 2010 .
[47] Ali R. Yildiz,et al. Hybrid Taguchi-differential evolution algorithm for optimization of multi-pass turning operations , 2013, Appl. Soft Comput..
[48] Andrew Y. C. Nee,et al. GA-BHTR: an improved genetic algorithm for partner selection in virtual manufacturing , 2012 .
[49] Manoj Kumar Tiwari,et al. A Hybrid Taguchi-Immune approach to optimize an integrated supply chain design problem with multiple shipping , 2010, Eur. J. Oper. Res..
[50] Günther R. Raidl,et al. A Unified View on Hybrid Metaheuristics , 2006, Hybrid Metaheuristics.
[51] X. Shao,et al. A multi-objective genetic algorithm based on immune and entropy principle for flexible job-shop scheduling problem , 2010 .
[52] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[53] Ponnuthurai N. Suganthan,et al. A novel hybrid discrete differential evolution algorithm for blocking flow shop scheduling problems , 2010, Comput. Oper. Res..
[54] Tharam S. Dillon,et al. Modeling of a Liquid Epoxy Molding Process Using a Particle Swarm Optimization-Based Fuzzy Regression Approach , 2011, IEEE Trans. Ind. Informatics.