Szczegóły

Tytuł artykułu

Multi-objective decision making and search space for the evaluation of production process scheduling

Tytuł czasopisma

Bulletin of the Polish Academy of Sciences: Technical Sciences

Rocznik

2009

Wolumin

vol. 57

Numer

No 3

Autorzy

Wydział PAN

Nauki Techniczne

Zakres

195-208

Wydawca

Polish Academy of Sciences

Data

2009

Identyfikator

ISSN 0239-7528, eISSN 2300-1917

Referencje

Keeney R. (1976), Decisions with Multiple Objectives: Preferences and Value Tradeoffs. ; Dasgupta P. (1999), Multiobjective Heuristic Search, doi.org/10.1007/978-3-322-86853-4 ; Gupta J. (2000), Bi criteria optimization of the makespan and mean flow time on two identical parallel machine, J. Operational Research Society, 51, 11, 1330, doi.org/10.1057/palgrave.jors.2601016 ; Lio C. (1997), Bi-criteria scheduling in two machine flow shop, Int. J. Production Research, 53, 9, 1004. ; Singh A. (2004), A multicriterion approach for dynamic scheduling, null, 419. ; Liu H. (2006), Variable neighborhood particle swarm optimization for multi-objective flexible job-shop scheduling problems, LNCS, 4247, 197. ; Brandimarte P. (1993), Routing and scheduling in a flexible job shop by taboo search, Annals of Operations Research, 41, 3, 157. ; Deb K. (2005), Search Methodologies, 273. ; Kacem I. (2002), Approach by localization and multi-objective evolutionary optimization for flexible job-shop scheduling problems, IEEE Trans. on Systems, Man, Cybernetics, 1, 1. ; Mastrolilli M. (2000), Effective neighborhood functions for the flexible job shop problem, J. Scheduling, 3, 1, 3. ; Ripon K. (2007), Hybrid evolutionary approach for multi-objective job-shop scheduling problem, Malaysian J. Computer Science, 20, 2, 183. ; Xia W. (2005), An effective hybrid optimization approach for multi-objective flexible job-shop scheduling problems, Computers and Industrial Engineering, 48, 409. ; L-PCSXing N. (2009), Multi-objective flexible job shop schedule: Design and evaluation by simulation modeling, Applied Soft Computing, 362. ; Xing Y. (2006), A multi-objective fuzzy genetic algorithm for job-shop scheduling problem, J. Achievements in Materials and Manufacturing Engineering, 17, 1-2, 297. ; Błażewicz J. (2007), Handbook Scheduling. ; Alba E. (2005), Parallel Metaheuristics. ; Aydin M. (2004), A simulated annealing algorithm for multi-agents systems: A job shop scheduling, J. Intelligent Manufacturing, 15, 6, 805. ; Burke E. (2005), Search Methodologies. ; Feo T. (1994), Greedy randomized adaptive search procedures, J. Global Optimization, 6, 109. ; Gao J. (2006), A hybrid of genetic algorithm and bottleneck shifting for flexible job shop scheduling problem, Proc. GECCO, 06, 1157. ; Glover F. (1989), Tabu search - Part I, ORSA J. Computing, 1, 3, 190, doi.org/10.1287/ijoc.1.3.190 ; Goldberg D. (1989), Genetic Algorithms in Search, Optimization and Machine Learning. ; (2007), Handbook of Approximation Algorithms and Metaheuristics. ; Hart E. (1999), New Ideas in Optimisation, 185. ; Kusiak A. (1988), Expert systems for planning and scheduling manufacturing systems, Eur. J. Operational Research, 34, 113. ; Ong Z. (2005), Applying the clonal selection principle to find flexible job shop schedules, LNCS, 3627, 442. ; Othman Z. (2002), Application of fuzzy inference systems and genetic algorithms in integrated process planning and scheduling, Int. J. Computer, Internet and Management, 10, 2, 81. ; Ribeiro C. (2002), Essays an Surveys in Metaheuristics, doi.org/10.1007/978-1-4615-1507-4 ; Tan K. (2005), Multiobjective Evolutionary Algorithms and Applications. ; Yang S. (2000), Constraint satisfaction adaptive neural network and heuristics combined approaches for generalized job-shop scheduling, IEEE Trans. Neural Networks, 11, 2, 474. ; Witkowski T. (2004), Random and evolution algorithms of tasks scheduling and the production scheduling, null, 2, 727. ; Witkowski T. (2005), Tabu search and GRASP used in hybrid procedure for optimize the flexible job shop problem, null, 1620. ; Witkowski T. (2006), The application of simulated annealing procedure for the flexible job shop scheduling problem, null, 21. ; Collette Y. (2004), Multiobjective Optimization. Principles and Case Studies, doi.org/10.1007/978-3-662-08883-8 ; Rutkowski L. (2005), Computational Intelligence. Methods and Techiques. ; Saaty T. (1994), Fundamentals of Decision Making. ; Taha H. (2007), Operations Research. An Introduction. ; Witkowski T. (2007), Schedule cluster recognition with use conditional probability, null, 413. ; Klir G. (1988), Fuzzy Sets, Uncertainty, and Information. ; Han J. (2006), Data Mining. ; Tan P. (2006), Introduction to Data Mining. ; Theodoridis S. (2006), Patern Recognition. ; Kay S. (2006), Intuitive Probability and Random Processes Using MATLAB, doi.org/10.1007/b104645 ; Cox E. (2005), Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration. ; Larose D. (2005), Discovering Knowledge in Data. ; Khor E. (2001), Tabu-based exploratory evolutionary algorithm for effective multiobjective optimization, null, 344.

DOI

10.2478/v10175-010-0121-4

×