A novel intelligent particle swarm optimization algorithm for solving cell formation problem

[1]  Armin Jabbarzadeh,et al.  Robust supply chain network design: an optimization model with real world application , 2014, Annals of Operations Research.

[2]  Armin Jabbarzadeh,et al.  Incorporating location and inventory decisions into a supply chain design problem with uncertain demands and lead times , 2017 .

[3]  Michael G. H. Bell,et al.  Supply chain design for efficient and effective blood supply in disasters , 2017 .

[4]  Armin Jabbarzadeh,et al.  An enhanced robustness approach for managing supply and demand uncertainties , 2017 .

[5]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[6]  J. Sheu,et al.  Designing a supply chain resilient to major disruptions and supply/demand interruptions , 2016 .

[7]  Armin Jabbarzadeh,et al.  Marrying supply chain sustainability and resilience: A match made in heaven , 2016 .

[8]  Mohammad Mahdi Paydar,et al.  Revised multi-choice goal programming for integrated supply chain design and dynamic virtual cell formation with fuzzy parameters , 2015, Int. J. Comput. Integr. Manuf..

[9]  Armin Jabbarzadeh,et al.  Dynamic supply chain network design for the supply of blood in disasters: A robust model with real world application , 2014 .

[10]  Armin Jabbarzadeh,et al.  Facility Location-Network Design Problem: Reliability and Investment Budget Constraint , 2014 .

[11]  O. Kosheleva,et al.  Why Trapezoidal and Triangular Membership Functions Work So Well: Towards a Theoretical Explanation , 2014 .

[12]  M. Sheikhan,et al.  Substitution of G.728 vocoder’s codebook search module with SOM array trained by PSO-optimized supervised algorithm , 2013, Neural Computing and Applications.

[13]  E. Govekar,et al.  Self-organizing neural network-based clustering and organization of production cells , 2013, Neural Computing and Applications.

[14]  Armin Jabbarzadeh,et al.  Designing a Supply Chain Network under the Risk of Disruptions , 2012 .

[15]  Armin Jabbarzadeh,et al.  A new approach to solve a mixed-model assembly line with a bypass subline sequencing problem , 2011 .

[16]  Tai-Hsi Wu,et al.  An efficient tabu search algorithm to the cell formation problem with alternative routings and machine reliability considerations , 2011, Comput. Ind. Eng..

[17]  Armin Jabbarzadeh,et al.  An Integrated Location Inventory Model for Designing a Supply Chain Network under Uncertainty , 2011 .

[18]  Yash P. Aneja,et al.  An ant colony optimization metaheuristic for machine-part cell formation problems , 2010, Comput. Oper. Res..

[19]  John M. Wilson,et al.  The evolution of cell formation problem methodologies based on recent studies (1997-2008): Review and directions for future research , 2010, Eur. J. Oper. Res..

[20]  Ali Husseinzadeh Kashan,et al.  A differential evolution algorithm for the manufacturing cell formation problem using group based operators , 2010, Expert Syst. Appl..

[21]  Simon Haykin,et al.  Neural Networks and Learning Machines , 2010 .

[22]  Reza Kerachian,et al.  Multi-objective genetic local search algorithm using Kohonen's neural map , 2009, Comput. Ind. Eng..

[23]  Miin-Shen Yang,et al.  Machine-part cell formation in group technology using a modified ART1 method , 2008, Eur. J. Oper. Res..

[24]  Tai-Hsi Wu,et al.  A simulated annealing algorithm for manufacturing cell formation problems , 2008, Expert Syst. Appl..

[25]  Orlando Durán,et al.  A PSO-Based Clustering Algorithm for Manufacturing Cell Design , 2008, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008).

[26]  Reza Tavakkoli-Moghaddam,et al.  A fuzzy programming approach for a cell formation problem with dynamic and uncertain conditions , 2008, Fuzzy Sets Syst..

[27]  S.A. Torabi,et al.  An interactive possibilistic programming approach for multiple objective supply chain master planning , 2008, Fuzzy Sets Syst..

[28]  Riccardo Poli,et al.  Analysis of the publications on the applications of particle swarm optimisation , 2008 .

[29]  R. Poli.  An Analysis of Publications on Particle Swarm Optimisation Applications , 2007 .

[30]  A. Haq,et al.  Complete and fractional cell formation using Kohonen self-organizing map networks in a cellular manufacturing system , 2006 .

[31]  Sebastián Lozano,et al.  A particle swarm optimization algorithm for part–machine grouping , 2006 .

[32]  Reza Tavakkoli-Moghaddam,et al.  Solving a Dynamic Cell Formation Problem with Machine Cost and Alternative Process Plan by Memetic Algorithms , 2005, SAGA.

[33]  D. Lei *,et al.  Tabu search approach based on a similarity coefficient for cell formation in generalized group technology , 2005 .

[34]  A. Noorul Haq,et al.  Manufacturing cell formation using modified ART1 networks , 2005 .

[35]  Zülal Güngör,et al.  A parametric model for cell formation and exceptional elements’ problems with fuzzy parameters , 2005, J. Intell. Manuf..

[36]  D. Canca,et al.  Manufacturing cell formation using a new self-organizing neural network , 2002 .

[37]  M Soleymanpour,et al.  A transiently chaotic neural network approach to the design of cellular manufacturing , 2002 .

[38]  D. Canca,et al.  Machine grouping using sequence-based similarity coefficients and neural networks , 2001 .

[39]  Godfrey C. Onwubolu,et al.  Design of parts for cellular manufacturing using neural network-based approach , 1999, J. Intell. Manuf..

[40]  Kam-Fai Wong,et al.  A TSP-based heuristic for forming machine groups and part families , 1998 .

[41]  S. Zolfagha Ri,et al.  AN OBJECTIVE-GUIDED ORTHO-SYNAPSE HOPFIELD NETWORK APPROACH TO MACHINE GROUPING PROBLEMS , 1997 .

[42]  Urban Wemmerlöv,et al.  CELLULAR MANUFACTURING AT 46 USER PLANTS : IMPLEMENTATION EXPERIENCES AND PERFORMANCE IMPROVEMENTS , 1997 .

[43]  H.-C. Chen,et al.  An improved ART neural net for machine cell formation , 1996 .

[44]  Divakar Rajamani,et al.  Cellular Manufacturing Systems Design, Planning and Control , 1996 .

[45]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[46]  R. Huggahalli,et al.  Machine-part family formation with the adaptive resonance theory paradigm , 1995 .

[47]  Laura I. Burke,et al.  Neural networks and the part family/ machine group formation problem in cellular manufacturing: A framework using fuzzy ART , 1995 .

[48]  Teuvo Kohonen,et al.  Self-Organizing Maps , 2010 .

[49]  T. Ross.  Fuzzy Logic with Engineering Applications , 1994 .

[50]  David F. Rogers,et al.  Similarity and distance measures for cellular manufacturing. Part I. A survey , 1993 .

[51]  T. Warren Liao,et al.  An evaluation of ART1 neural models for GT part family and machine cell forming , 1993 .

[52]  A. Kusiak,et al.  Similarity coefficient algorithms for solving the group technology problem , 1992 .

[53]  Warren J. Boe,et al.  A close neighbour algorithm for designing cellular manufacturing systems , 1991 .

[54]  F. Boctor.  A Jinear formulation of the machine-part cell formation problem , 1991 .

[55]  M. Chandrasekharan,et al.  Grouping efficacy: a quantitative criterion for goodness of block diagonal forms of binary matrices in group technology , 1990 .

[56]  T. Narendran,et al.  An assignment model for the part-families problem in group technology , 1990 .

[57]  Nancy Lea Hyer,et al.  Cellular manufacturing in the U.S. industry: a survey of users , 1989 .

[58]  Hamid Seifoddini,et al.  A note on the similarity coefficient method and the problem of improper machine assignment in group technology applications , 1989 .

[59]  M. Chandrasekharan,et al.  GROUPABIL1TY: an analysis of the properties of binary data matrices for group technology , 1989 .

[60]  Harold J. Steudel,et al.  A within-cell utilization based heuristic for designing cellular manufacturing systems , 1987 .

[61]  A. Kusiak,et al.  Efficient solving of the group technology problem , 1987 .

[62]  M. Chandrasekharan,et al.  MODROC: an extension of rank order clustering for group technology , 1986 .

[63]  Philip M. Wolfe,et al.  Application of the Similarity Coefficient Method in Group Technology , 1986 .

[64]  Anthony Vannelli,et al.  Strategic subcontracting for efficient disaggregated manufacturing , 1986 .

[65]  M. Chandrasekharan,et al.  An ideal seed non-hierarchical clustering algorithm for cellular manufacturing , 1986 .

[66]  Andrew Kusiak,et al.  Grouping of parts and components in flexible manufacturing systems , 1986 .

[67]  Hans-Jürgen Zimmermann,et al.  Fuzzy Set Theory - and Its Applications , 1985 .

[68]  Michio Sugeno,et al.  An introductory survey of fuzzy control , 1985, Inf. Sci..

[69]  Larry E. Stanfel,et al.  Machine clustering for economic production , 1985 .

[70]  Larry R. Taube,et al.  Weighted similarity measure heuristics for the group technology machine clustering problem , 1985 .

[71]  Larry R. Taube,et al.  The facets of group technology and their impacts on implementation--A state-of-the-art survey , 1985 .

[72]  P. Waghodekar,et al.  Machine-component cell formation in group technology: MACE , 1984 .

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

[74]  J. King,et al.  Machine-component group formation in group technology: review and extension , 1982 .

[75]  D. A. Milner,et al.  Direct clustering algorithm for group formation in cellular manufacture , 1982 .

[76]  Allan S. Carrie,et al.  Numerical taxonomy applied to group technology and plant layout , 1973 .

[77]  Paul J. Schweitzer,et al.  Problem Decomposition and Data Reorganization by a Clustering Technique , 1972, Oper. Res..