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PATH PLANNING OF AN AUTONOMOUS MOBILE MULTI-SENSOR PLATFORM IN A 3D ENVIRONMENT USING NEWTONIAN IMPERIALIST COMPETITIVE OPTIMIZATION METHOD

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Academic year: 2017

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Table 2. parameter values of implemented algorithms  We  made  simulations  for  evaluating  the  speed  of  convergence  and  the  quality  of  NICA  solution,  in  comparison  to  ICA,  PSO  and  GA  algorithms
Figure 3. Comparison of performance of NICA, PSO and GA  for minimization of F 1
Figure 8. Plot of cost values of paths versus Generations  through performance measures

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