Abstract. Elliptical vibration cutting (EVC), as a precision machining technology, is used in many applications. In machining, control accuracy plays an essential role improving the machinability of difficult-to-machine materials. To improve accuracy, dynamic and static characteristics system need to be tuned obtain optimal parameters. this paper, we use glowworm algorithm with improved adaptiv...

For predicting the key technology indicators (concentrate grade and tailings recovery rate) of flotation process, an echo state network (ESN) based fusion soft-sensor model optimized by the improved glowworm swarm optimization (GSO) algorithm is proposed. Firstly, the color feature (saturation and brightness) and texture features (angular second moment, sum entropy, inertia moment, etc.) based ...

Dynamic measurement error correction is an effective way to improve sensor precision. Dynamic measurement error prediction is an important part of error correction, and support vector machine (SVM) is often used for predicting the dynamic measurement errors of sensors. Traditionally, the SVM parameters were always set manually, which cannot ensure the model's performance. In this paper, a SVM m...

Dynamic measurement error correction is an effective method to improve the sensor 15 precision. Dynamic measurement error prediction is an important part of error correction, support 16 vector machine (SVM) is often used to predicting the dynamic measurement error of sensors. 17 Traditionally, the parameters of SVM were always set by manual, which can not ensure the model’s 18 performance. In t...

Methods to deal with Multimodal Optimization Problems (MMOP) can be classified in three main approaches, regarding the number and the type of desired solutions. In general, methods can be applied to find: (1) only one global solution; (2) all global solutions; and (3) all local solutions of a given MMOP. The simultaneous capture of several solutions of MMOPs without parameter adjustment is stil...

We present theoretical foundations for a variation of the multi-agent rendezvous problem involving design of local control strategies that enable agent swarms, with hard-limited sensing ranges, to split into disjoint subgroups, exhibit simultaneous taxis behavior toward, and eventually rendezvous at, multiple unknown locations of interest. The algorithm used to solve the above problem is based ...