In terms of given campaign sea area and required clearance probability through the sonar search model,emulation calculation is utilized to find the multi-AUV(Autonomous Underwater Vehicle)coordinated exercise method with the best efficiency-to-cost ratio in different sonar detecting probability,contrasting the two strategies of trapezoidal search and random search.

Used the random search algorithm to study the resource-leveling problem in project management,in view of the logic constraint and time constraint of the activities in network,presented a kind of improved random search algorithm, which based on the dynamic float,avoided producing the non-feasible solution.

The algorithm is based on random search and backtracking.

A stochastic search-based global convergence algorithm for constrained optimization problems;

A new method of constructing digital core named stochastic search algorithm based on majority operator is presented.

According to the ideas from stochastic search,this paper puts forward an algorithm BPMHS for learning Bayesian networks in the presence of missing data.

A new glob al optimization random searching al gorithm based on number-theory is proposed.

In this paper,a general optimization model applicable to optimization analysis of slope stability under any complex conditions,including complex boundary and shape of slope surface and soil data,is firstly presented,and then a coupling algorithm of simulated annealing algorithm and random search method is introduced for giving a global search method of slope stabilit.

By the versatile regressive rotary compound design and random directional researching method, the optimized ranges and contours of each index can be acquired.