An ant model algorithm of solving N queens problem is presented.

The new ant algorithm can be used to solve QoSR problem.

Application of ant colony algorithm in fault system interpretation

The performance analysis and improvement of the ant colony algorithm for solving TSP problem

Combining characteristics of ant colony algorithm and genetic algorithm,a novel hybrid algorithm was developed for the assembly sequence planning problems.

Void fraction measurement of oil-gas two-phase flow based on ant system and electrical capacitance tomography;

Max-Min Ant System (MMAS) reduced the possibility of ant system being dropped into the local trap via Max-Min strategy.

Design of lifting scheme wavelet based on multi-population genetic algorithm(GA) and ant system(AS) for effective image compression is proposed.

Study on Management Optimization Based on Ant Algorithms;

Ant algorithms can guarantee the high-efficiency and high astringency of procedure running avoiding understanding effectively this problem the hour sinks into the partial dinky blemish easiest,and can tefrain from rash action quickly.

Firstly, its architecture and functions are introduced; then, the principles and the key technologies of mobile terminal and monitoring center are discussed in detail; next, a novel vehicle scheduling model based on ant algorithms is proposed; finally, it is realized in practice.

Solving Point Covering Problem by ant-algorithm;

A network model that is suitable to study such routing problem is described,and an improved ant-algorithm is given for multiple constrained QoS multicast routing.

Facing the progress on knowledge world s research on ant-algorithm in the last few years,this paper introduces and approves the ant-algorithm emphatically,and presents a general method to solving multi-object TSP problem,and implements it by approved ant-algorithm.