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In recent years, various algorithms have been proposed to attain low computational complexity in motion estimation of the image sequence coding based on block matching. This paper presents an Adaptive Order Cross–Square–Hexagon (AOCSH) search algorithm, which employs a smaller cross-shaped pattern before the first step of a square pattern and replaces the square-shaped pattern with the hexagon search...
We proposed a new evolutionary algorithm for multiobjective optimization problems. The influence of constraints on search space and Pareto front are analyzed first. According to the analysis, a new clustering method based on domination is proposed, in which the infeasible solutions are employed. Then, aiming to converge to Pareto fronts of the multiobjective problems quickly, a differential evolution...
The crossover operator plays an important role in a genetic algorithm, which produces two or more offspring for each pair of parents. With the help of the crossover operator, the genetic algorithm can explore the search space effectively. In this paper, we propose a new crossover operator called elliptical crossover operator, which can explore the search domain effectively. A local search scheme is...
Many effective algorithms have been proposed for the global optimization problems arisen in various practical fields. However, some of these problems exist many local optima, which may lead to premature for solution algorithms. In order to avoid entrapping in the local optima, a smoothing function and square search method were used in the designed evolutionary algorithm. Using smoothing function can...
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