This paper presents an evolutionary way for the robot to plan path. The way is based on the Evolutionary Artificial Potential Field approach. APF is an efficient way for a robot to plan its path, and the evolutionary APF can help the robot to jump out of the local minimum point. A matrix is integrated in the new algorithm. The matrix can modify the direction of a robot when the robot is trapped in a local minimum point. The force which has been changed will prompt the robot to escape from the local minimum point. Simulation result shows that the optimized algorithm is an effective way to solve the local minimum problem.

In order to calculate the all-time apparent resistivity for large fixed loop more quickly, the transient electromagnetic field analytic expression for lager fixed loop in homogeneous half space is analyzed in this paper. The facts that the curve has a characteristic of translational expansion and contraction with the conductivity, the test point coordinates and observation time are discovered. A new method using translation algorithm to calculate all-time apparent resistivity is proposed for the large fixed loop. A new calculation equation of all-time apparent resistivity for large fixed loop is derived which shows that the method is feasible and effective.