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In this paper, the honey bee mating optimization (HBMO) algorithm is used to improve the detection of the concave region connected with the control points of active contour. In the traditional active contour model (ACM) method, the updating of control point is based on its local energy within a small searching window. As a result, it always results in the failure of precisely searching the boundary...
Digital watermarking has been a popular topic in both researches and applications in the last decade. Based on previous experiences in literature, designing one good watermarking algorithm is desired, and how to assess how good the algorithm is should be based on the preset requirements. Here we use one optimization technique named bacterial foraging and we employ the concept in fuzzy theory to design...
Artificial bee colony (ABC) algorithm is a new global stochastic optimization algorithm based on the particular intelligent behavior of honeybee swarms, in which there exists many issues to be improved and solved. When onlooker bees exploit in ABC algorithm, they choose food source depending on the strategy of proportional selection that can result in the premature of the evolutionary process. In...
Ant colony optimization (ACO) is a popular-based, artificial agent, general-search technique for the solution of difficult combinatorial problems. This paper presents a solution to the resource-constraint project scheduling problem based on ACO algorithm. The method considers the quantified duration and resource as the heuristic information to calculate the accurate state transition probability and...
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