An intelligent multi-robot path planning in a dynamic environment using improved gravitational search algorithm

[1]  Marjan Mernik,et al.  A parameter control method of evolutionary algorithms using exploration and exploitation measures with a practical application for fitting Sovova's mass transfer model , 2013, Appl. Soft Comput..

[2]  Jianhua Zhang,et al.  Robot path planning in uncertain environment using multi-objective particle swarm optimization , 2013, Neurocomputing.

[3]  Radu-Emil Precup,et al.  Optimal Robot Path Planning Using Gravitational Search Algorithm , 2013 .

[4]  Adem Tuncer,et al.  Dynamic path planning of mobile robots with improved genetic algorithm , 2012, Comput. Electr. Eng..

[5]  Satyandra K. Gupta,et al.  Real-Time Path Planning for Coordinated Transport of Multiple Particles Using Optical Tweezers , 2012, IEEE Transactions on Automation Science and Engineering.

[6]  Stefan Preitl,et al.  Novel Adaptive Gravitational Search Algorithm for Fuzzy Controlled Servo Systems , 2012, IEEE Transactions on Industrial Informatics.

[7]  Srikanta Patnaik,et al.  Soft Computing Techniques in Vision Science , 2012, Studies in Computational Intelligence.

[8]  Pratyusha Rakshit,et al.  Multi-robot path-planning using artificial bee colony optimization algorithm , 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

[9]  G. K. Mahanti,et al.  Generation of phase-only pencil-beam pair from concentric ring array antenna using Gravitational Search Algorithm , 2011, 2011 International Conference on Communications and Signal Processing.

[10]  Ellips Masehian,et al.  Multi-Objective PSO- and NPSO-based Algorithms for Robot Path Planning , 2010 .

[11]  Hossein Nezamabadi-pour,et al.  BGSA: binary gravitational search algorithm , 2010, Natural Computing.

[12]  Xin-She Yang.  Harmony Search as a Metaheuristic Algorithm , 2010, 1003.1599.

[13]  Hossein Nezamabadi-pour,et al.  GSA: A Gravitational Search Algorithm , 2009, Inf. Sci..

[14]  Z. Geem.  Music-Inspired Harmony Search Algorithm: Theory and Applications , 2009 .

[15]  Amit Konar,et al.  Cooperative multi-robot path planning using differential evolution , 2009, J. Intell. Fuzzy Syst..

[16]  Cen Li,et al.  Programming Khepera II robot for autonomous navigation and exploration using the hybrid architecture , 2009, ACM-SE 47.

[17]  Paul Levi,et al.  Cooperative Multi-Robot Path Planning by Heuristic Priority Adjustment , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[18]  Enrique Alba,et al.  The exploration/exploitation tradeoff in dynamic cellular genetic algorithms , 2005, IEEE Transactions on Evolutionary Computation.

[19]  Yi Guo,et al.  A distributed and optimal motion planning approach for multiple mobile robots , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[20]  Guan-Chun Luh,et al.  Behavior-based intelligent mobile robot using an immunized reinforcement adaptive learning mechanism , 2002, Adv. Eng. Informatics.

[21]  Zong Woo Geem,et al.  A New Heuristic Optimization Algorithm: Harmony Search , 2001, Simul..

[22]  A. Konar.  Artificial Intelligence and Soft Computing: Behavioral and Cognitive Modeling of the Human Brain , 1999 .

[23]  Didier Keymeulen,et al.  The fluid dynamics applied to mobile robot motion: the stream field method , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[24]  Taisir Eldos,et al.  On The Performance of the Gravitational Search Algorithm , 2013 .

[25]  Om Prakash Verma,et al.  An Optimal Edge Detection Using Gravitational Search Algorithm , 2013 .

[26]  S. N. Patro,et al.  Artificial Immune System Based Path Planning of Mobile Robot , 2012, Soft Computing Techniques in Vision Science.

[27]  Amit Konar,et al.  PATH PLANNING OF MOBILE ROBOT IN UNKNOWN ENVIRONMENT , 2010 .

[28]  This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS 1 Exploratory Power of the Harmony Sear , 2022 .