Most multimodal optimization algorithms use the so called niching methods [1] in order to promote diversity during optimization, while others, like Artificial Immune Systems [2] try to find multiple solutions as its main objective. One of such algorithms, called dopt-aiNet [3], introduced the Line Distance that measures the distance between two solutions regarding their basis of attraction. In ...

Wei Fang, Jun Sun and Wenbo Xu Centre of Intelligent and High Performance Computing, School of Information Technology, Jiangnan University No 1800, Lihu Avenue, Wuxi, China, 214122 {wxfangwei, sunjun_wx, xwb_sytu}@hotmail.com Adaptive infinite impulse response (IIR) filters have shown their worth in a wide range of practical applications. Because the error surface of IIR filters is multimodal i...

In order to improve the optimizing efficiency, one dimensional blind-walking optimization method is proposed, which can be realized by halving step or doubling step for the applicability test condition of the sensing point. The optimum point, then, can be reached at high rate by doubling step and converged by halving step. Current point should be updated in whole design space. The flow chart of...

In this chapter, the authors describe the design and implementation of an adaptive multimodal fission component integrated in the multimodal GUIDE framework. This component is able to adapt any HTMLbased application’s UI to a specific user’s characteristics, making it possible for elderly and impaired users to interact by offering several output modalities that try to overcome possible interact...