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To improve performance of ant colony algorithm when solving large-scale TSP problem, a hybrid ant colony algorithm based on scale compression is proposed. First we use genetic algorithm to generate a suboptimal solution set and calculate their intersection. By eliminating all cities mapped by the elements among the intersection in the primal TSP problem, we convert the original problem into a new...
Expert assignment is chief and basic work of project review in project management. So it is significant to research how to solve expert assignment problem (EAP). In previous papers, we established the mathematical model of expert assignment problem, and proposed genetic algorithm (GA) and GA using heuristic mutation guide by pheromone (HMP) to solve EAP. Though it has been proven GA and HMP are effective...
Ant colony algorithm is one kind of new heuristic biological modelling method which has the ability of parallel processing and global searching, but its convergence speed is slow because of poor pheromone on the early path. In this paper, discuss a new algorithm which combines genetic algorithm and Ant colony algorithm. Genetic algorithm is added to ant colony algorithm's every generation in the proposed...
One of the most important practical considerations in the optimization of discrete structures is that the structural members are generally to be selected from available profiles list. Genetic algorithm shows certain advantages over other classical optimization procedures in structural optimization of discrete variables. In this paper we introduce the idea of directed mutation into the simple genetic...
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