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A hybrid genetic algorithm is proposed for multi-objective flexible job-shop scheduling problem, where the time, cost and equipment utilization rate are used as objective functions. First, the scheduling model for this problem is set up. Second, the matrix chromosome based on job-scheduling encode is adopted and it makes the decode and the use of belief(More)
OBJECTIVE Currently, research is focused on universal influenza vaccines based on various ectodomains of the influenza matrix protein 2 (M2e). Such vaccines are tested mostly using mouse-adapted influenza viruses and in mouse or ferret models. The aim of this study was to investigate in a chicken model the protective efficacy of vaccines based on avian-type(More)
To investigate the effects of personality type and psychological stress on the occurrence of major adverse cardiovascular events (MACEs) at 5 years in patients with coronary artery disease (CAD) after percutaneous coronary intervention (PCI). Two hundred twenty patients with stable angina (SA) or non-ST segment elevation acute coronary syndrome (NSTE-ACS)(More)
Bus trip is a healthy way to travel, and optimal bus dispatching decides social and economic benefits. Based on the analysis for both the existing traffic environment and bus dispatching, a mathematical model is proposed in this paper such that the goal function of this model are the average maximal satisfaction for passengers, the average loading rate of(More)
The two-side optimal Matching between employees and positions is considered in the optimal configuration of human resource in construction enterprise using the two-sided matching theory. Based the two-sided evaluation index system between Employees and Positions, the two-sided matching degree is defined by calculating the distance of evaluation information(More)
According to the characteristics of constrained optimization problem, a new approach based on a new fitness function is presented to handle constrained optimization problems. The primary features of the algorithm proposed are as follows. Inspired by the smooth function technique, a new fitness function is designed which can automatically search potential(More)
The traveling salesman problem (TSP) is widely used in many real world problems. It is very important to design efficient algorithms for this problem. The key issue in TSP is that the computation cost will increase rapidly with the increasing of the size of the problem. To overcome the shortcoming, in this paper a novel evolutionary algorithm based on a(More)