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- Hongfeng Xiao, Guanzheng Tan
- 2008 The 9th International Conference for Young…
- 2008

In simplex hybrid genetic algorithm, widely using Nelder-Mead simplex method (NMSM) would lead to precocity of genetic algorithm and increase in computation quantity, so a novel simplex hybrid genetic algorithm is proposed in this paper. First, we propose a new efficient simplex crossover operator. Second, using the successful experiences of dividing the… (More)

- Hongfeng Xiao, Guanzheng Tan, Jingui Huang
- GEC Summit
- 2009

Simplex genetic algorithm (Simplex-GA) is the fusion between the simplex multi-direction searches consisting in Nelder-Mead Simplex Method (NMSM), i.e., MDS-NMSM, and the evolutionary mechanism of genetic algorithm, i.e., selecting the superior and eliminating the inferior. One of important differences in evolution algorithms is that each evolution… (More)

- Bo Yang, Hongfeng Xiao
- 2009 International Conference on Computational…
- 2009

Destruction of interdependencies of multivariable in decomposing hyper-high dimensional problems into single variable is generally the main reason that Conventional CC framework fails to optimize inseparable problems. An improved CC framework is proposed, which designs a basic optimizer that has better performance in high-dimension optimization. The… (More)

- Hongfeng Xiao, Guanzheng Tan
- GECCO
- 2009

The velocity term of Particle Swarm Optimizer (PSO) easily results in particles' dispersing and thus decreasing in computation precision. In view of PSO, the simplex-based Particle Swarm Optimizer (Simplex PSO) is derived from the Nelder-Mead simplex method. In Simplex PSO, the velocity term is abandoned and its reference objectives are the centroid of… (More)

- Hongfeng Xiao, Guanzheng Tan
- CSSE
- 2008

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