By A. Leung
The 2014 foreign convention on Engineering administration and commercial Engineering (EMIE2014), Xiamen, China, October 16–17, 2014 has, as a significant foreign convention, served both contributors as good as participants of the assembly well. In the past due 20th century, engineering administration and business engineering, either facing the optimization of complicated procedures or structures, are customarily eager about the advance and improvement of built-in platforms in business manufacture. in the course of the conference, cutting edge rules and studies have been provided in many fields of engineering schooling and coaching, business administration, and choice research. The papers are categorized in six sections:
1) Modeling, Simulation and Engineering Application
2) production structures and commercial layout
3) info Processing and Engineering
4) administration expertise and Engineering
5) Engineering schooling and Training
6) E-Business and E-Commerce
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GENETIC ALGORITHM WITHLOCAL OPTIMIZATION For genetic algorithm of this problem, this paper uses natural number encoding. Encoded x ( x1, x2 , , xn ) as a chromosome, in which xi is the natural number between 1 to mi and it represents that subproject i chooses the xi-th contractor. The calculation of the fitness is according to the objective function of unconstrained optimization problem. Algorithm flow: Step1: Selection of parameters. Set t = 1. Generate the initial population At which are satisfied (3).
If the simplest task node in BPD is a component task node, it is a recursive process, which means that if the component contains at least one component task, it is also needed to give the component with its the Petri Net semantic (called “expanding”). Finally the transformed Petri Nets are shown. The flowchart of the component based “Folding-Expanding” algorithm is shown below in Figure 6. output sets can be defined. Therefore, we introduce a particular semantics of BPMN data objects in this work, as a necessary precondition for formal verification that is inspired by the notion of input and output sets.
If two tasks need to be carried out sequentially, there should be a clear interdependence between them. Figure 2 shows an example of sequential routing. Sequence flow diagram. 2 Figure 3. Parallel flow diagram If more than one task can be carried out at the same time or in any order, then we refer to parallel routing. If we confine ourselves to the situation with two tasks, taskl and task2, then there are three possibilities: both tasks can be performed simultaneously; taskl can be carried out first, then task2; or task2 can be the first, followed by task1.