Multi-objective four dimensional imprecise TSP solved with a hybrid multi-objective ant colony optimization-genetic algorithm with diversity

[1]  Asoke Kumar Bhunia,et al.  Genetic algorithm for asymmetric traveling salesman problem with imprecise travel times , 2011, J. Comput. Appl. Math..

[2]  Li-Sheng Hu,et al.  A model induced max-min ant colony optimization for asymmetric traveling salesman problem , 2013, Appl. Soft Comput..

[3]  Kevin Tickle,et al.  Solving the traveling salesman problem using cooperative genetic ant systems , 2012, Expert Syst. Appl..

[4]  Y. S. Tarng,et al.  Design optimization of cutting parameters for turning operations based on the Taguchi method , 1998 .

[5]  Novruz Allahverdi,et al.  Development a new mutation operator to solve the Traveling Salesman Problem by aid of Genetic Algorithms , 2011, Expert Syst. Appl..

[6]  Gishantha I. F. Thantulage Ant colony optimization based simulation of 3d automatic hose/pipe routing , 2009 .

[7]  Daniel Angus,et al.  Crowding Population-based Ant Colony Optimisation for the Multi-objective Travelling Salesman Problem , 2007, 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making.

[8]  Andrea Lodi,et al.  A Hybrid Exact Algorithm for the TSPTW , 2002, INFORMS J. Comput..

[9]  Kalyanmoy Deb,et al.  Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.

[10]  Stefan Näher,et al.  The Travelling Salesman Problem , 2011, Algorithms Unplugged.

[11]  Yuichi Nagata,et al.  A new genetic algorithm for the asymmetric traveling salesman problem , 2012, Expert Syst. Appl..

[12]  Kaisa Miettinen,et al.  Nonlinear multiobjective optimization , 1998, International series in operations research and management science.

[13]  K. Y. Chan,et al.  Computer experiments for the analysis of extreme-value phenomena , 1987 .

[14]  Yu-Hsin Liu Different initial solution generators in genetic algorithms for solving the probabilistic traveling salesman problem , 2010, Appl. Math. Comput..

[15]  Zbigniew Michalewicz,et al.  Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.

[16]  Benjamín Barán,et al.  A Multiobjective Ant Colony System for Vehicle Routing Problem with Time Windows , 2003, Applied Informatics.

[17]  Manas Kumar Maiti,et al.  Profit maximization of TSP through a hybrid algorithm , 2015, Comput. Ind. Eng..

[18]  Manoranjan Maiti,et al.  A CONSTRAINED SOLID TSP IN FUZZY ENVIRONMENT: TWO HEURISTIC APPROACHES , 2013 .

[19]  Manoranjan Maiti,et al.  A hybrid heuristic algorithm for single and multi-objective imprecise traveling salesman problems , 2016, J. Intell. Fuzzy Syst..

[20]  Saoussen Krichen,et al.  A Bi-criteria Ant Colony Optimization for Minimizing Fuel Consumption and Cost of The Traveling Salesman Problem With Time Windows , 2017, KES.

[21]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[22]  T. G. I. Fernando,et al.  Performance analysis of the multi-objective ant colony optimization algorithms for the traveling salesman problem , 2015, Swarm Evol. Comput..

[23]  William J. Cook,et al.  Solution of a Large-Scale Traveling-Salesman Problem , 1954, 50 Years of Integer Programming.

[24]  Halife Kodaz,et al.  A new hybrid method based on Particle Swarm Optimization, Ant Colony Optimization and 3-Opt algorithms for Traveling Salesman Problem , 2015, Appl. Soft Comput..

[25]  Jacques Teghem,et al.  Two-phase Pareto local search for the biobjective traveling salesman problem , 2010, J. Heuristics.

[26]  Manoranjan Maiti,et al.  Utilization of Multi-Objective Genetic Algorithm for One-Item Multi-Level Inventory Distribution System , 2009 .

[27]  M Dorigo,et al.  Ant colonies for the travelling salesman problem. , 1997, Bio Systems.

[28]  Dipankar Chakraborty,et al.  A new approach to solve multi-objective multi-choice multi-item Atanassov's intuitionistic fuzzy transportation problem using chance operator , 2015, J. Intell. Fuzzy Syst..