Abstract In order to more accurate for nonlinear function extreme, this paper used improved particle swarm optimization neural network combining with genetic algorithm method solve the problem. view of is easy appear “premature” faults, introducing adaptive threshold, initializing particles if they were under constraint conditions, making jump out optimal value position in previous search. Thro...

The transfer function is an important parameter describing ultrasonic transducers which are designed to operate in various media. typically high impedance of piezoelectric matched a particular loading medium (gas, liquid, biological medium) by using multicomponent matching layers, have specific impedances and thicknesses accordance with the generally known criteria: Chebyshev, DeSilets or Souqu...

This thesis introduces Intelligent Fitness Functions and Partial Fitness Functions both of which can improve the performance of a genetic algorithm which is limited to a fixed run time. An Intelligent Fitness Function is defined as a fitness function with a memory. The memory is used to store information about individuals so that duplicate individuals do not need to have their fitness tested. D...

This paper introduces the optimization algorithm to improve search rate in urban path routing problems using viral infection and local search in urban environment. This algorithm operates based on two different approaches including wavelet transform and genetic algorithm. The variables proposed by driver such as degree of difficulty and difficulty traffic are of the essence in this technique. W...