References
- Z. N. Dong, R. L. Zhang, Z. J. Chen, R. Zhou. Study on UAV Path Planning Approach Based on Fuzzy Virtual Force, Chinese Journal of Aeronautics, 23, 341-350 (2010).
- H. B. Duan, G. J. Ma, D. L. Luo. Optimal formation reconfiguration control of multiple UCAVs using improved particle swarm optimization, Journal of Bionic Engineering, 5, 215– 223 (2008).
- M. Neshat, M. Sargolzaei, A. Masoumi, A. Najaran. A NEW KIND OF PSO: PREDATOR PARTICLE SWARM OPTIMIZATION, INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS, 5, 521-539 (2012).
- H. B. Duan, Y. X. Yu, X. Y. Zhang, S. Shao. Three-dimension path planning for UCAV using hybrid meta-heuristic ACO-DE algorithm, Simulation Modelling Practice and Theory, 18, 1104– 1115 (2010).
- M. Chen, Q. X. Wu, CH. SH. Jiang. A modified optimization algorithm for path planning of UCAV, Applied Soft Computing, 8, 1712–1718 (2008).
- X. L. Li, Z. J. Shao, J. X. Qian. An Optimizing method based on autonomous animals: fishswarm algorithm, Systems Engineering—theory & Practice, 22, 32-38 (2002).
- M. Neshat, A. Adeli, G. Sepidnam, M. Sargolzaei, A. N. Toosi. A REVIEW OF ARTIFICIAL FISH SWARM OPTIMIZATION METHODS AND APPLICATIONS, INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS, 5, 107-148 (2012).
- R. V. Rao, V. J. Savsani, D. P. Vakharia. Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems, Computer-Aided Design, 43, 303-315 (2011).
- R. V. Rao, V. J. Savsani, D. P. Vakharia. Teaching-learning-based optimization: An optimization method for continuous non-linear large scale problems, Information Sciences, 183, 1-15 (2012).
- H. B. Duan, S. Q. Liu, J. Wu. Novel intelligent water drops optimization approach to single UCAV smooth trajectory planning, Aerospace Science and Technology, 13, 442-449 (2009).
- A. Naik, S. C. Satapathy, K. Parvathi. Improvement of Initial Cluster Center of C-means using Teaching Learning based Optimization, Sciverse ScienceDirect Procedia Technology, 6, 428-435 (2012).
- W. Ye, D. W. Ma, H. D. Fan. Algorithm for low altitude penetration aircraft path planning with improved ant colony algorithm, Chinese Journal of Aeronautics, 18, 304-309 (2005).
- J. D. Andrews, J. Poole, W. H. Chen. Fast mission reliability prediction for Unmanned Aerial Vehicles, Reliability Engineering and System Safety, 120, 3-9 (2013).
- CH. F. Xu, H. B. Duan, F. Liu. Chaotic artificial bee colony approach to Uninhabited Combat Air Vehicle (UCAV) path planning, Aerospace Science and Technology, 14, 535-541 (2010).
- W. Y. Fu, D. S. Li, J. Chen, Y. Y. Han, J. G. Nie. Topology Optimization Control with Balanced Energy and Load in Underwater Acoustic Sensor Networks, INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS, 4, 138-159 (2011).
- R. V. Rao, V. Patel. An elitist teaching-learning-based optimization algorithm for solving complex constrained optimization problems, International Journal of Industrial Engineering Computations, 3, 535-560 (2012).
- R. V. Rao, V. J. Savsania, J. Balic. Teaching-learning-based optimization algorithm for unconstrained and constrained real-parameter optimization problems, Engineering Optimization, 44, 1447-1462 (2011).
- R. V. Rao, V. D. Kalyankar. Parameter optimization of modern machining processes using teaching-learning-based optimization algorithm, Engineering Applications of Artificial Inteligence, 26, 524-531 (2013).
- F. Zou, L. Wang, X. H. Hei, D. B. Chen, B. Wang. Multi-objective optimization using teaching-learning-based optimization algorithm, Engineering Applications of Artificial Intelligence, 26, 1291–1300 (2013).
- G. Waghmare. Comments on “A note on teaching-learning-based optimization algorithm”, Information Sciences, 229, 159-169 (2013).10.1016/j.ins.2012.11.009
- M. Crepinsek, S. H. Liu, L. Mernik. A note on teaching-learning-based optimization algorithm, Information Sciences, 212, 79-93 (2012).
- A. H. Gandomi, A. H. Alavi, Krill herd: A new bio-inspired optimization algorithm. Commun Nonlinear Sci Number Simulat, 17, 4831-4845 (2012).10.1016/j.cnsns.2012.05.010