Recent Advances of Intelligent Optimization Algorithm in Manufacturing

Due to its good versatility and independence, intelligent optimization algorithm has largely shortened the time of decision-making in large-scale optimization problems of manufacture. However, lower searching time often conflicts with the searching accuracy in most cases.

[1]  Ling Wang,et al.  Differential evolution algorithm for hybrid flow-shop scheduling problems , 2011 .

[2]  Teodor Gabriel Crainic,et al.  A parallel multi-neighborhood cooperative tabu search for capacitated vehicle routing problems , 2012, Eur. J. Oper. Res..

[3]  N. Baskar,et al.  Particle swarm optimization technique for determining optimal machining parameters of different work piece materials in turning operation , 2011 .

[4]  Ali Azadeh,et al.  A hybrid computer simulation-artificial neural network algorithm for optimisation of dispatching rule selection in stochastic job shop scheduling problems , 2012 .

[5]  Xin Yao,et al.  Continuous Dynamic Constrained Optimization—The Challenges , 2012, IEEE Transactions on Evolutionary Computation.

[6]  Hiroshi Katayama,et al.  Integrated procedure of balancing and sequencing for mixed-model assembly lines: a multi-objective evolutionary approach , 2010 .

[7]  Huaiqing Wang,et al.  Multi-agent-based proactive–reactive scheduling for a job shop , 2012 .

[8]  Chris Aldrich,et al.  The cross-entropy method in multi-objective optimisation: An assessment , 2011, Eur. J. Oper. Res..

[9]  Chittaranjan A. Mandal,et al.  Minimum Connected Dominating Set Using a Collaborative Cover Heuristic for Ad Hoc Sensor Networks , 2010, IEEE Transactions on Parallel and Distributed Systems.

[10]  P. N. Suganthan,et al.  Ensemble of Constraint Handling Techniques , 2010, IEEE Transactions on Evolutionary Computation.

[11]  Chuan-Hsi Liu,et al.  Motion estimation using two-stage predictive search algorithms based on joint spatio-temporal correlation information , 2011, Expert Syst. Appl..

[12]  Song Zhang,et al.  Empirical models and optimal cutting parameters for cutting forces and surface roughness in hard milling of AISI H13 steel , 2010 .

[13]  Ali Azadeh,et al.  A flexible artificial neural network–fuzzy simulation algorithm for scheduling a flow shop with multiple processors , 2010 .

[14]  Mir Saman Pishvaee,et al.  A memetic algorithm for bi-objective integrated forward/reverse logistics network design , 2010, Comput. Oper. Res..

[15]  Ruoyu Li,et al.  Gear Fault Location Detection for Split Torque Gearbox Using AE Sensors , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[16]  Uwe Starossek,et al.  Topological optimized design considering dynamic problem with non-stochastic structural uncertainty , 2010 .

[17]  Jamal Arkat,et al.  Multi-objective genetic algorithm for cell formation problem considering cellular layout and operations scheduling , 2012, Int. J. Comput. Integr. Manuf..

[18]  Amir R. Khoei,et al.  Genetic algorithm-based numerical optimization of powder compaction process with temperature-dependent cap plasticity model , 2013 .

[19]  P. Suganthan,et al.  Constrained multi-objective optimization algorithm with an ensemble of constraint handling methods , 2011 .

[20]  Jie Zhang,et al.  A mixed-discrete Particle Swarm Optimization algorithm with explicit diversity-preservation , 2013 .

[21]  Xinyu Shao,et al.  Integration of rough set and neural network ensemble to predict the configuration performance of a modular product family , 2010 .

[22]  Alice M. Agogino,et al.  Hybrid evolutionary optimal MEMS design , 2012 .

[23]  Zhong-Zhong Jiang,et al.  A credibility-based fuzzy location model with Hurwicz criteria for the design of distribution systems in B2C e-commerce , 2010, Comput. Ind. Eng..

[24]  C. Balamurugan,et al.  Evolutionary multi-objective concurrent maximisation of process tolerances , 2012 .

[25]  Davood Afshari,et al.  Creep feed grinding optimization by an integrated GA-NN system , 2010, J. Intell. Manuf..

[26]  Mohsen Ghafory-Ashtiany,et al.  Application of genetic algorithm in crack detection of beam-like structures using a new cracked Euler-Bernoulli beam element , 2013, Appl. Soft Comput..

[27]  S. N. Omkar,et al.  Applied Soft Computing Artificial Bee Colony (abc) for Multi-objective Design Optimization of Composite Structures , 2022 .

[28]  Russell Bent,et al.  Online stochastic optimization under time constraints , 2005, Ann. Oper. Res..

[30]  Daniel Weiss,et al.  Feature-based spline optimization in CAD , 2010 .

[31]  G. Mohan Kumar,et al.  Development of simulation-based AHP-DPSO algorithm for generating multi-criteria production–distribution plan , 2012 .

[32]  Xiaoping Li,et al.  Adaptive Hybrid Algorithms for the Sequence-Dependent Setup Time Permutation Flow Shop Scheduling Problem , 2012, IEEE Transactions on Automation Science and Engineering.

[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]  Boris Shnits.  Multi-criteria optimisation-based dynamic scheduling for controlling FMS , 2012 .

[35]  Weiming Shen,et al.  A divide and conquer-based greedy search for two-machine no-wait job shop problems with makespan minimisation , 2012 .

[36]  Ehab Saliem Ali Mohamed Salamh.  A Hybrid Particle Swarm Optimization and Bacterial Foraging for Optimal Power System Stabilizers Design , 2013 .

[37]  Ching-Chih Tsai,et al.  FPGA-Based Parallel DNA Algorithm for Optimal Configurations of an Omnidirectional Mobile Service Robot Performing Fire Extinguishment , 2011, IEEE Transactions on Industrial Electronics.

[38]  Ali Kamran,et al.  Multidisciplinary design and optimization of an air launched satellite launch vehicle using a hybrid heuristic search algorithm , 2011 .

[39]  Mostafa Zandieh,et al.  Assembly line balancing by a new multi-objective differential evolution algorithm based on TOPSIS , 2011 .

[40]  Romanas Puisa,et al.  Prudent constraint-handling technique for multiobjective propeller optimisation , 2011 .

[41]  Guoqun Zhao,et al.  Process simulation and optimization of laser tube bending , 2013 .

[42]  Shankar Chakraborty,et al.  Selection of the optimal electrochemical machining process parameters using biogeography-based optimization algorithm , 2013 .

[43]  Mahmoud Moghavvemi,et al.  Application of genetic algorithm in optimization of unified power flow controller parameters and its location in the power system network , 2013 .

[44]  Daniele Peri,et al.  Penalty function approaches for ship multidisciplinary design optimisation (MDO) , 2012 .

[45]  Enrico Zio,et al.  NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment , 2013, Expert Syst. Appl..

[46]  T. Warren Liao,et al.  Application of an artificial immune system-based fuzzy neural network to a RFID-based positioning system , 2012, Comput. Ind. Eng..

[47]  Peng Wang,et al.  A Knowledge-Based Ant Colony Optimization for Flexible Job Shop Scheduling Problems , 2010, Appl. Soft Comput..

[48]  Rasaratnam Logendran,et al.  A single machine carryover sequence-dependent group scheduling in PCB manufacturing , 2013, Comput. Oper. Res..

[49]  Carlos A. Coello Coello,et al.  DEMORS: A hybrid multi-objective optimization algorithm using differential evolution and rough set theory for constrained problems , 2010, Comput. Oper. Res..

[50]  Mauricio G. C. Resende,et al.  A parallel multi-population biased random-key genetic algorithm for a container loading problem , 2012, Comput. Oper. Res..

[51]  Xindong Wu,et al.  Extracting elite pairwise constraints for clustering , 2013, Neurocomputing.

[52]  Salih O. Duffuaa,et al.  A multi-objective optimization model for process targeting using sampling plans , 2013, Comput. Ind. Eng..

[53]  Ali Kaveh,et al.  Truss optimization with natural frequency constraints using a hybridized CSS-BBBC algorithm with trap recognition capability , 2012 .

[54]  Pei-Hao Tai,et al.  A Knowledge-Based Engineering System for Assembly Sequence Planning , 2011 .

[55]  G. Paulraj,et al.  Geometric error control of workpiece during drilling through optimisation of fixture parameter using a genetic algorithm , 2012 .

[56]  Liang Gao,et al.  Applying an electromagnetism-like mechanism algorithm on parameter optimisation of a multi-pass milling process , 2013 .

[57]  B. Naderi,et al.  Multi-objective no-wait flowshop scheduling problems: models and algorithms , 2012 .

[58]  Fei Tao,et al.  A study of optimal allocation of computing resources in cloud manufacturing systems , 2012, The International Journal of Advanced Manufacturing Technology.

[59]  MengChu Zhou,et al.  Deadlock-Free Genetic Scheduling Algorithm for Automated Manufacturing Systems Based on Deadlock Control Policy , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[60]  Shuai Zhang,et al.  A matrix-based Bayesian approach for manufacturing resource allocation planning in supply chain management , 2013 .

[61]  Fumihiro Ashida,et al.  Stabilization of parameter estimation for Kriging-based approximation with empirical semivariogram , 2010 .

[62]  Rubén Ruiz,et al.  Restarted Iterated Pareto Greedy algorithm for multi-objective flowshop scheduling problems , 2011, Comput. Oper. Res..

[63]  André Langevin,et al.  Integrated scheduling of crane handling and truck transportation in a maritime container terminal , 2013, Eur. J. Oper. Res..

[64]  Patrick Siarry,et al.  Two-stage update biogeography-based optimization using differential evolution algorithm (DBBO) , 2011, Comput. Oper. Res..

[65]  El Houssaine Aghezzaf,et al.  Models for robust tactical planning in multi-stage production systems with uncertain demands , 2010, Comput. Oper. Res..

[66]  Emmanuel Duc,et al.  Tool path smoothing of a redundant machine: Application to Automated Fiber Placement , 2011, Comput. Aided Des..

[67]  Zhiwen Yu,et al.  Neighborhood Knowledge-Based Evolutionary Algorithm for Multiobjective Optimization Problems , 2011, IEEE Transactions on Evolutionary Computation.

[68]  Shapour Azarm,et al.  A modified Benders decomposition method for efficient robust optimization under interval uncertainty , 2011 .

[69]  Fouad Riane,et al.  A simulation based approach for supply network control , 2011 .

[70]  Daniel Brand,et al.  Optimal selection of cutting parameters in multi-tool milling operations using a genetic algorithm , 2011 .

[71]  Mohsen Hamedi,et al.  Strength modeling and optimizing ultrasonic welded parts of ABS-PMMA using artificial intelligence methods , 2012 .

[72]  Tobias Larsson,et al.  A Knowledge-based Master-model Approach with Application to Rotating Machinery Design , 2011, Concurr. Eng. Res. Appl..

[73]  Pierre-Alain Boucard,et al.  A multiparametric strategy for the two step optimization of structural assemblies , 2013 .

[74]  Parviz Mohammad Zadeh,et al.  Multi-objective collaborative multidisciplinary design optimization using particle swarm techniques and fuzzy decision making , 2012 .

[75]  Il-Yop Chung,et al.  Control parameter optimization for multiple distributed generators in a microgrid using particle swarm optimization , 2011 .

[76]  Ali R. Yildiz,et al.  Cuckoo search algorithm for the selection of optimal machining parameters in milling operations , 2012, The International Journal of Advanced Manufacturing Technology.

[77]  Marco Platzner,et al.  Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers , 2013, IEEE Transactions on Evolutionary Computation.

[78]  Li-Fei Chen,et al.  Combining neural networks and genetic algorithms for optimising the parameter design of the inter-metal dielectric process , 2012 .

[79]  Alain Remouchamps,et al.  Application of a bi-level scheme including topology optimization to the design of an aircraft pylon , 2011 .

[80]  David J. Barnes,et al.  Formulating partner selection criteria for agile supply chains: A Dempster-Shafer belief acceptability optimisation approach , 2010 .

[81]  Didier El Baz,et al.  Solving knapsack problems on GPU , 2012, Comput. Oper. Res..

[82]  Hartmut Stadtler,et al.  A lot-sizing and scheduling model for multi-stage flow lines with zero lead times , 2013, Eur. J. Oper. Res..

[83]  M. C. Majumder,et al.  Optimal fixture parameters considering locator errors , 2011 .

[84]  Xiang Li,et al.  BSTBGA: A hybrid genetic algorithm for constrained multi-objective optimization problems , 2013, Comput. Oper. Res..

[85]  Ching-Chih Tsai,et al.  Parallel Elite Genetic Algorithm and Its Application to Global Path Planning for Autonomous Robot Navigation , 2011, IEEE Transactions on Industrial Electronics.

[86]  Chun-Yin Wu,et al.  Injection molding optimization with weld line design constraint using distributed multi-population genetic algorithm , 2011 .

[87]  Luigi Barone,et al.  Nature-Inspired Techniques in the Context of Fraud Detection , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[88]  Kang Maing-Kyu,et al.  An Improved Best-First Branch and Bound Algorithm for Unconstrained Two-Dimensional Cutting Problems , 2005 .

[89]  Mostafa Zandieh,et al.  An efficient knowledge-based algorithm for the flexible job shop scheduling problem , 2012, Knowl. Based Syst..

[90]  Chia-Feng Juang,et al.  Designing Fuzzy-Rule-Based Systems Using Continuous Ant-Colony Optimization , 2010, IEEE Transactions on Fuzzy Systems.

[91]  Shiwei Zhou,et al.  Evolutionary topology optimization of periodic composites for extremal magnetic permeability and electrical permittivity , 2012 .

[92]  Alain-Jérôme Fougères,et al.  A fuzzy configuration multi-agent approach for product family modelling in conceptual design , 2012, J. Intell. Manuf..

[93]  L. Hua,et al.  A hybrid of back propagation neural network and genetic algorithm for optimization of injection molding process parameters , 2011 .

[94]  Rubén Ruiz,et al.  Multi-objective sequence dependent setup times permutation flowshop: A new algorithm and a comprehensive study , 2013, Eur. J. Oper. Res..

[95]  Andrew Taylor,et al.  Modeling and Control of a Plastic Film Manufacturing Web Process , 2011, IEEE Transactions on Industrial Informatics.

[96]  Chih-Chieh Yang,et al.  Constructing a hybrid Kansei engineering system based on multiple affective responses: Application to product form design , 2011, Comput. Ind. Eng..

[97]  Xin Yao,et al.  Diversity Guided Evolutionary Programming: A novel approach for continuous optimization , 2012, Appl. Soft Comput..

[98]  Han Ding,et al.  Numerical robust optimization of spindle speed for milling process with uncertainties , 2012 .

[99]  R. Venkata Rao,et al.  Parameter optimization of modern machining processes using teaching-learning-based optimization algorithm , 2013, Eng. Appl. Artif. Intell..

[100]  Helio J. C. Barbosa,et al.  An adaptive constraint handling technique for differential evolution with dynamic use of variants in engineering optimization , 2011 .

[101]  Nenad Mladenovic,et al.  New exact method for large asymmetric distance-constrained vehicle routing problem , 2013, Eur. J. Oper. Res..

[102]  Sajad Kafashi,et al.  Integrated setup planning and operation sequencing (ISOS) using genetic algorithm , 2011 .

[103]  C. Kwong,et al.  A genetic programming based fuzzy regression approach to modelling manufacturing processes , 2010 .

[104]  Masoud Rabbani,et al.  Novel bi-level hierarchical production planning in hybrid MTS/MTO production contexts , 2013 .

[105]  Adam N. Letchford,et al.  Fast bounding procedures for large instances of the Simple Plant Location Problem , 2012, Comput. Oper. Res..

[106]  Rakesh Nagi,et al.  Robust supply chain design under uncertain demand in agile manufacturing , 2010, Comput. Oper. Res..

[107]  Jie Chen,et al.  An Efficient Rule-Based Constructive Heuristic to Solve Dynamic Weapon-Target Assignment Problem , 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[108]  Desheng Dash Wu,et al.  Fuzzy multi-objective programming for supplier selection and risk modeling: A possibility approach , 2010, Eur. J. Oper. Res..

[109]  Ling Jing,et al.  A parallel scheduling algorithm for reinforcement learning in large state space , 2012, Frontiers of Computer Science.

[110]  G. Mohan Kumar,et al.  A simulation based heuristic discrete particle swarm algorithm for generating integrated production-distribution plan , 2012, Appl. Soft Comput..

[111]  Dae-Sung Jung,et al.  Finite element model updating on small-scale bridge model using the hybrid genetic algorithm , 2013 .

[112]  Gang Xu,et al.  Multi-objective optimization of MIMO plastic injection molding process conditions based on particle swarm optimization , 2012 .

[113]  Manoj Kumar Tiwari,et al.  Optimal process plan selection in networked based manufacturing using game-theoretic approach , 2012 .

[114]  Aikaterini Mitrokotsa,et al.  Evaluation of classification algorithms for intrusion detection in MANETs , 2012, Knowl. Based Syst..

[115]  Fei Tao,et al.  Correlation-aware resource service composition and optimal-selection in manufacturing grid , 2010, Eur. J. Oper. Res..

[116]  Nicolás García-Pedrajas,et al.  Evolutionary response surfaces for classification: an interpretable model , 2012, Applied Intelligence.

[117]  Xun Xu,et al.  Recent development of knowledge-based systems, methods and tools for One-of-a-Kind Production , 2011, Knowl. Based Syst..

[118]  Quan-Ke Pan,et al.  A comprehensive review and evaluation of permutation flowshop heuristics to minimize flowtime , 2013, Comput. Oper. Res..

[119]  Wojciech Bozejko,et al.  Parallel hybrid metaheuristics for the flexible job shop problem , 2010, Comput. Ind. Eng..

[120]  Andrew Y. C. Nee,et al.  An enhanced ant colony optimiser for multi-attribute partner selection in virtual enterprises , 2012 .

[121]  Pericle Zanchetta,et al.  Hybrid Bacterial Foraging Optimization Strategy for Automated Experimental Control Design in Electrical Drives , 2013, IEEE Transactions on Industrial Informatics.

[122]  Kit Yan Chan,et al.  Modelling and optimization of fluid dispensing for electronic packaging using neural fuzzy networks and genetic algorithms , 2010, Eng. Appl. Artif. Intell..

[123]  Jörg Homberger,et al.  Packing first, routing second - a heuristic for the vehicle routing and loading problem , 2013, Comput. Oper. Res..

[124]  Bilal Toklu,et al.  An efficient branch and bound algorithm for assembly line balancing problems with parallel multi-manned workstations , 2012, Comput. Oper. Res..

[125]  Michel Gendreau,et al.  A review of dynamic vehicle routing problems , 2013, Eur. J. Oper. Res..

[126]  S. G. Deshmukh,et al.  Application of knowledge-based artificial immune system (KBAIS) for computer aided process planning in CIM context , 2012 .

[127]  A. Gopala Krishna,et al.  An integrated evolutionary approach for modelling and optimization of laser beam cutting process , 2013 .

[128]  Mehmet Bozca,et al.  Empirical model based optimization of gearbox geometric design parameters to reduce rattle noise in an automotive transmission , 2010 .

[129]  U. H. Bezerra,et al.  Simultaneous Fault Section Estimation and Protective Device Failure Detection Using Percentage Values of the Protective Devices Alarms , 2013, IEEE Transactions on Power Systems.

[130]  Jianhua Zhang,et al.  Robot path planning in uncertain environment using multi-objective particle swarm optimization , 2013, Neurocomputing.

[131]  Pei-Chann Chang,et al.  Dynamic diversity control in genetic algorithm for mining unsearched solution space in TSP problems , 2010, Expert Syst. Appl..

[132]  Hoo-Gon Choi,et al.  Particle swarm optimization in multi-stage operations for operation sequence and DT allocation , 2012, Comput. Ind. Eng..

[133]  Meral Azizoglu,et al.  The multi-resource agent bottleneck generalised assignment problem , 2012 .

[134]  Kouroush Jenab,et al.  Fuzzy quality feature monitoring model , 2010 .

[135]  Lei Wang,et al.  Machining fixture layout optimisation under dynamic conditions based on evolutionary techniques , 2012 .

[136]  S. G. Deshmukh,et al.  FMS scheduling with knowledge based genetic algorithm approach , 2011, Expert Syst. Appl..

[137]  Yang Li,et al.  Process parameters optimization of injection molding using a fast strip analysis as a surrogate model , 2010 .

[138]  Konstantinos Salonitis,et al.  Optimization of roll forming process parameters—a semi-empirical approach , 2010 .

[139]  Huifeng Zhang,et al.  An efficient multi-objective adaptive differential evolution with chaotic neuron network and its application on long-term hydropower operation with considering ecological environment problem , 2013 .

[140]  James S. Noble,et al.  An integrated model for crossdock operations including staging , 2012 .

[141]  Leandro Fleck Fadel Miguel,et al.  Multimodal size, shape, and topology optimisation of truss structures using the Firefly algorithm , 2013, Adv. Eng. Softw..

[142]  A genetic programming based fuzzy regression approach to modeling manufacturing processes , 2011 .

[143]  Hung-Yi Lin,et al.  Feature selection based on cluster and variability analyses for ordinal multi-class classification problems , 2013, Knowl. Based Syst..

[144]  Zbigniew Michalewicz,et al.  Adaptation in Dynamic Environments: A Case Study in Mission Planning , 2012, IEEE Transactions on Evolutionary Computation.

[145]  G. Paulraj,et al.  Genetic algorithm based deformation control and clamping force optimisation of workpiece fixture system , 2011 .