Nowadays, swarm intelligence optimization has become an important optimization tool and wildly used in many fields of application. In contrast to many successful applications, the theoretical foundation is rather weak. Therefore, there are still many problems to be solved. One problem is how to quantify the performance of algorithm in finite time, that is, how to evaluate the solution quality g...

PSO algorithm is an intelligent optimization algorithm based on swarm intelligence. Particle swarm optimization algorithm is simple, easy to implement, and it has a wide application prospect in scientific research and engineering applications. In real life, most of the optimization problem is the optimization problem of some nonlinear discrete with the existence of local. PSO algorithm also has...

Data mining technology has emerged as a means of discovering hidden patterns and trends among large volumes of data and thus it can be considered as an important step in the knowledge discovery (KDD) process. In the area of data mining the task of Association rule (AR) mining is to discover interesting relations among various items in the database. One of the subfield of artificial intelligence...

Oncology nurses play a pivotal role in the care of patients receiving chemotherapy and are in a prime position to facilitate better care of patients experiencing chemotherapy-induced nausea and vomiting (CINV). However, to do so, they must be kept well apprised of the most recent guidelines, the latest developments in CINV therapy, and the expanding knowledge of CINV pathophysiology. In April 2...

?ld to the intelligent nurse of the present, and for their still further improvement the new edition of Mental Nursing is specially adapted. The sections on Elementary Anatomy and Physiology and First Aid have been omitted, and replaced by others of more immediate value. The book now forms a sound guide for the treatment of the insane from the practical nursing Point of view, and as such it can...

Objective: To evaluate the effect of the pattern of clinical pathway management upon the healthcare nursing for patients who were diagnosed with malignant tumors. Methods: A total of 186 intern nurses were recruited and randomly divided into the control (n=90) and clinical pathway groups (n=96). In the control group, all the intern nurses received traditional teaching management, and their coun...

in this article, multiple-product pvrp with pickup and delivery that is used widely in goods distribution or other service companies, especially by railways, was introduced. a mathematical formulation was provided for this problem. each product had a set of vehicles which could carry the product and pickup and delivery could simultaneously occur. to solve the problem, two meta-heuristic methods...

Particle swarm optimization (PSO) is an optimization approach from the field of artificial intelligence. A population of so-called particles moves through the parameter space defined by the optimization problem, searching for good solutions. Inspired by natural swarms, the movements of the swarm members depend on own experiences and on the experiences of adjacent particles. PSO algorithms are m...

This paper discusses how concepts derived from nature can be applied successfully to improve the performance of the rule mining process. These concepts are derived from swarm intelligence and behavior of frogs. Swarm Intelligence (SI) is the property of a system whereby the collective behavior of agents interacting locally with their environment causes coherent functional global patterns to eme...

We introduce a method of designing behaviors for swarms of micro-robots based on observation of human beings executing various tasks collectively. As a case study, we have focused on the development of decentralized control strategies specifically applicable to swarms of the Mini-Whegs quadruped robot. The design process consists of carefully mapping hardware requirements for the robotic platfo...