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0-1 knapsack problem is a typical optimization difficult problem. At present, there are a lot of methods to solve this problem, but with the increase of the scale of this problem, among them, the genetic algorithm is an important branch, it is quite active to ask the research of solving 0-1 knapsack on the basis of the genetic algorithm. This paper combines multi-agent theory and CGS-MSM PGA (coarse...
TSP (traveling salesman problem) is a typical combinational optimization problem. At present, there are a lot of methods to solve this problem, but with the increase of the scale of this problem, most methods face the difficult problem of "combination exploding". This paper combines multi-agent theory and CGS-MSM PGA (coarse grain size-master slaver model parallel genetic algorithm) together,...
In order to solve problem of the speed of convergence and early-maturing of the serial genetic algorithm, people begin to study the parallel genetic algorithm. However most researcher devoted to study the single way parallel genetic algorithm (PGA), while solving some combination optimizing problem, have made good result, but as to the more complicated combination optimizing problem, all have certain...
0-1 knapsack problem is a typical optimization difficult problem. At present, there are a lot of methods to solve this problem, but with the increase of the scale of this problem, among them, the genetic algorithm is an important branch, it is quite active to ask the research of solving 0-1 knapsack on the basis of the genetic algorithm. This paper combines multi-agent theory and MSM-PGA(master-slaver...
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