Now the optimization strategies for power distribution are researched widely, and most of them are aiming to the optimal fuel economy and the driving cycle must be preknown. Thus if the actual driving condition deviates from the scheduled driving cycle, the effect of optimal results will be declined greatly. Therefore, the instantaneous optimization strategy carried out on-line is studied in th...

Balancing assembly lines, a family of optimization problems commonly known as Assembly Line Balancing Problem, is notoriously NP-Hard. They comprise a set of problems of enormous practical interest to manufacturing industry due to the relevant frequency of this type of production paradigm. For this reason, many researchers on Computational Intelligence and Industrial Engineering have been conce...

A mature coordinated and optimized control system can bring timeliness benefits to the production line. This paper firstly exemplifies big data intelligent line coordination model algorithm. They, respectively, include model, hardware key electrical of air conditioning assembly line, taking tea as an example. The parameters are identified by algorithm design, which considers adjusts functional ...

Assembly line design is an important part of production system. Someprocesses need to undergo changes in order to increase in efficiency. Computer simulation has been applied on process design for many decades. Traditionally, simulation had to run all possible alternatives of assembly line and was not considered as an optimization technique. Thus, this study employs particle swarm optimization ...

Direct methods for trajectory optimization are traditionally based on a priori temporal discretization and collocation methods. In this work, the problem of node distribution is formulated as an optimization problem, which is to be included in the underlying NLP. The benefits of utilizing the suggested method for on-line trajectory optimization, are illustrated by a missile guidance example.