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NP-hard problems exist in many real world applications. Ant colony optimization (ACO) algorithms can provide approximate solutions for those NP-hard problems, but the performance of ACO algorithms is significantly reduced due to premature convergence and weak robustness, etc. With these observations in mind, this paper proposes a Physarum-based pheromone matrix optimization strategy in ant colony...
The k-modes clustering algorithm is undoubtedly one of the most widely used partitional algorithms for categorical data. Unfortunately, due to its gradient descent nature, this algorithm is highly sensitive to the initialization of clustering. Categorical initialization methods have been proposed to address this problem. In this paper, we present an overview of initialization methods of clustering...
Aiming at the problem of ZigBee tree routing algorithm in which the solution may not be optimal and some nodes may exhaust the energy as a result of heavy transmissions, an optimized ZigBee tree routing algorithm based on the energy-balance. The optimized algorithm imports neighbor-table and the depth of nodes to make sure the routing local optimal in routing hops. This paper also considers the residual...
A heuristic solution algorithm for travel time reliability-based path finding problem is proposed in this paper. Due to network uncertainties, the travel times are not deterministic and suffer from fluctuations. Under this circumstance, traditional optimal path methods based on least expected travel time can not capture the network user's risk-taking behaviors in path finding. In reorganization of...
Malware is becoming a worldwide epidemic. Artificial Immune System is a self-adaptive method for malware detection. However the scalability and coverage problems reduced the detection efficiency of an Artificial Immune System. In order to solve these problems, this paper proposed a model called Collaborative Artificial Immune System. In this model, independent immune bodies in different computers...
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