Background In bilateral cleft lip and palate (BCLP) patients with protrusion and/or torsion of the premaxillae, it is difficult to achieve a good outcome. We have developed a series of procedures of premaxillary osteotomy with primary cheiloplasty for BCLP patients who did not respond well to presurgical orthodontics (PSO). Methods A total of 27 BCLP patients with protrusion and/or torsion of...

This paper addresses the joint quay crane and truck scheduling problem at a container terminal, considering the coordination of the two types of equipment to reduce their idle time between performing two successive tasks. For the unidirectional flow problem with only inbound containers, in which trucks go back to quayside without carrying outbound containers, a mixed-integer linear programming ...

Recently Wireless Sensor Networks (WSNs) has turned into a popular matter of research area, because of its flexibility and dynamic nature. It is proven that the clustering technique, as a multi objective optimization, is the most effective solution to have minimum energy consumption. The goal of the clustering technique is to divide network sensors into clusters each of which has a cluster-head...

This paper presents an optimal design of linear phase digital low pass finite impulse response (FIR) filter using Novel Particle Swarm Optimization (NPSO). NPSO is an improved particle swarm optimization (PSO) that proposes a new definition for the velocity vector and swarm updating and hence the solution quality is improved. The inertia weight has been modified in the PSO to enhance its search...

Particle Swarm Optimization (PSO) is a useful algorithm to deal with non-linear problems such as route economic management optimization, vehicle routing optimization and so on. Several different kinds of improved PSO algorithms is provided to further increase its searching performance, which means PSO can deal with various kinds of situation through these improved algorithms. Moreover, Multi-Sw...

Efficient emergency material dispatch, amid the aftermath of an event, can help control spread disaster and reduce losses. Herewith, we propose a model with urgency demand as target coefficient, minimum load time transportation cost total cost. For this model, improved particle swarm optimization (PSO) algorithm is proposed means to optimize initial positions particles good point sets improve c...

The liquid cargo replenishment decision based on ship’s stability, strength and the floating state is a multiobjective optimization problem. The mathematical model of multi-objective is built in this paper. Aiming to obtain the feasible solution, the adaptive step ergodic of permutation and combination is applied in terms of the cargo oil tank and the water ballast tank. particle swarm optimiza...