An improved intelligent water drops algorithm for solving multi-objective job shop scheduling

[1]  E. L. Harder,et al.  The Institute of Electrical and Electronics Engineers, Inc. , 2019, 2019 IEEE International Conference on Software Architecture Companion (ICSA-C).

[2]  Chee Peng Lim,et al.  Intelligent Water Drops Algorithm for Rough Set Feature Selection , 2013, ACIIDS.

[3]  Rajesh Kumar,et al.  Optimal data aggregation tree in wireless sensor networks based on intelligent water drops algorithm , 2012, IET Wirel. Sens. Syst..

[4]  Yusuf Hendrawan,et al.  Neural-Intelligent Water Drops algorithm to select relevant textural features for developing precision irrigation system using machine vision , 2011 .

[5]  Mohammad R. Akbarzadeh-Totonchi,et al.  Intelligent water drops a new optimization algorithm for solving the Vehicle Routing Problem , 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

[6]  Mostafa Zandieh,et al.  Multi-objective scheduling of dynamic job shop using variable neighborhood search , 2010, Expert Syst. Appl..

[7]  D. Y. Sha,et al.  A Multi-objective PSO for job-shop scheduling problems , 2009, 2009 International Conference on Computers & Industrial Engineering.

[8]  Jiang Wu,et al.  Novel intelligent water drops optimization approach to single UCAV smooth trajectory planning , 2009 .

[9]  Hamed Shah-Hosseini,et al.  Optimization with the Nature-Inspired Intelligent Water Drops Algorithm , 2009 .

[10]  Liang Gao,et al.  An effective hybrid particle swarm optimization algorithm for multi-objective flexible job-shop scheduling problem , 2009, Comput. Ind. Eng..

[11]  Hamed Shah-Hosseini,et al.  The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm , 2009, Int. J. Bio Inspired Comput..

[12]  Jean-Charles Billaut,et al.  A tabu search and a genetic algorithm for solving a bicriteria general job shop scheduling problem , 2008, Eur. J. Oper. Res..

[13]  Xiujuan Lei,et al.  Air robot path planning based on Intelligent Water Drops optimization , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

[14]  Hamed Shah-Hosseini,et al.  Problem solving by intelligent water drops , 2007, 2007 IEEE Congress on Evolutionary Computation.

[15]  S.H. Hosseini,et al.  Ant Colony Optimization-Based Approach to Optimal Reactive Power Dispatch: A Comparison of Various Ant Systems , 2007, 2007 IEEE Power Engineering Society Conference and Exposition in Africa - PowerAfrica.

[16]  R. Suresh,et al.  Pareto archived simulated annealing for job shop scheduling with multiple objectives , 2006 .

[17]  Hisao Ishibuchi,et al.  Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling , 2003, IEEE Trans. Evol. Comput..

[18]  E. Nowicki,et al.  A Fast Taboo Search Algorithm for the Job Shop Problem , 1996 .

[19]  George Chryssolouris,et al.  Manufacturing Systems: Theory and Practice , 1992 .

[20]  John E. Beasley,et al.  OR-Library: Distributing Test Problems by Electronic Mail , 1990 .

[21]  Ravi Sethi,et al.  The Complexity of Flowshop and Jobshop Scheduling , 1976, Math. Oper. Res..

[22]  G. Thompson,et al.  Algorithms for Solving Production-Scheduling Problems , 1960 .