A Two-Way Parallel Slime Mold Algorithm by Flow and Distance for the Travelling Salesman Problem

[1]  Xin-She Yang,et al.  Random-key cuckoo search for the travelling salesman problem , 2015, Soft Comput..

[2]  Huiling Chen,et al.  Slime mould algorithm: A new method for stochastic optimization , 2020, Future Gener. Comput. Syst..

[3]  T. Nakagaki,et al.  Intelligence: Maze-solving by an amoeboid organism , 2000, Nature.

[4]  Zili Zhang,et al.  A new multi-agent system to simulate the foraging behaviors of Physarum , 2017, Natural Computing.

[5]  T. Niizato,et al.  Minimal model of a cell connecting amoebic motion and adaptive transport networks. , 2008, Journal of theoretical biology.

[6]  Keld Helsgaun,et al.  General k-opt submoves for the Lin–Kernighan TSP heuristic , 2009, Math. Program. Comput..

[7]  T. Nakagaki,et al.  Smart network solutions in an amoeboid organism. , 2004, Biophysical chemistry.

[8]  Jeff Jones,et al.  Physarum Itinerae: Evolution of Roman Roads with Slime Mould , 2011, International Journal of Nanotechnology and Molecular Computation.

[9]  T. Niizato,et al.  An adaptive and robust biological network based on the vacant-particle transportation model. , 2011, Journal of theoretical biology.

[10]  A. Tero,et al.  Mathematical Model for Rhythmic Protoplasmic Movement in the True Slime Mold , 2006, Journal of mathematical biology.

[11]  Zili Zhang,et al.  A universal optimization strategy for ant colony optimization algorithms based on the Physarum-inspired mathematical model , 2014, Bioinspiration & biomimetics.

[12]  A. Tero,et al.  Rules for Biologically Inspired Adaptive Network Design , 2010, Science.

[13]  Andrew Adamatzky,et al.  Route 20, Autobahn 7, and Slime Mold: Approximating the Longest Roads in USA and Germany With Slime Mold on 3-D Terrains , 2012, IEEE Transactions on Cybernetics.

[14]  Toshiyuki Nakagaki,et al.  Physarum solver: A biologically inspired method of road-network navigation , 2006 .

[15]  Andrew Adamatzky,et al.  Physical maze solvers. All twelve prototypes implement 1961 Lee algorithm , 2016, ArXiv.

[16]  Miao Yu A solution of TSP based on the ant colony algorithm improved by particle swarm optimization , 2019 .

[17]  Richard Alan Peters,et al.  Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives , 2018, Mach. Learn. Knowl. Extr..

[18]  Tsuyoshi Otake,et al.  Novel Routing Method Using Slime Mold Algorithm Corresponding to Movement of Content Source in Content-Oriented Networks , 2019 .

[19]  A. Tero,et al.  A mathematical model for adaptive transport network in path finding by true slime mold. , 2007, Journal of theoretical biology.

[20]  Gloria Cerasela Crişan,et al.  On the Resilience of Ant Algorithms. Experiment with Adapted MMAS on TSP , 2020 .

[21]  Keiji Yamanaka,et al.  Parallel island based Memetic Algorithm with Lin-Kernighan local search for a real-life Two-Echelon Heterogeneous Vehicle Routing Problem based on Brazilian wholesale companies , 2019, Appl. Soft Comput..

[22]  Andrew Adamatzky,et al.  Slime mould imitates development of Roman roads in the Balkans , 2015 .

[23]  Z. Zhang,et al.  Multi-Objective Ant Colony Optimization Based on the Physarum-Inspired Mathematical Model for Bi-Objective Traveling Salesman Problems , 2016, PloS one.

[24]  Sankaran Mahadevan,et al.  A Bio-Inspired Approach to Traffic Network Equilibrium Assignment Problem , 2018, IEEE Transactions on Cybernetics.

[25]  Qing Li,et al.  An improved multi-objective particle swarm optimization and its application in raw ore dispatching , 2018 .

[26]  Manas Kumar Maiti,et al.  A Hybrid PSO-GA Algorithm for Traveling Salesman Problems in Different Environments , 2019, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[27]  Gürsel A. Süer,et al.  A hybrid method of 2-TSP and novel learning-based GA for job sequencing and tool switching problem , 2018, Appl. Soft Comput..

[28]  Gregory Gutin,et al.  Lin-Kernighan heuristic adaptations for the generalized traveling salesman problem , 2010, Eur. J. Oper. Res..

[29]  Yuxin Zhao,et al.  Slime mould imitates transport networks in China , 2013, Int. J. Intell. Comput. Cybern..

[30]  A. Tero,et al.  Minimum-risk path finding by an adaptive amoebal network. , 2007, Physical review letters.