An Improved Method for Solving SPP Based on ACO Algorithm
نویسندگان
چکیده
منابع مشابه
Study on an Improved ACO Algorithm Based on Multi-Strategy in Solving Function Problem
In order to overcome the blindness of chaotic search, improve the convergence speed and global solving ability of the basic ant colony optimization(ACO) algorithm, an improved ACO algorithm based on combining multi-population strategy, adaptive adjustment pheromone strategy, chaotic search method and min-max ant strategy (MPCSMACO)is proposed in this paper. In the proposed MPCSMACO algorithm, t...
متن کاملAn improved collocation method based on deviation of the error for solving BBMB equation
In this paper, we improve b-spline collocation method for Benjamin-Bona-Mahony-Burgers (BBMB) by using defect correction principle. The exact finite difference scheme is used to find defect and the defect correction principle is used to improve collocation method. The method is tested on somemodel problems and the numerical results have been obtained and compared.
متن کاملAn Improved ACO Algorithm for Multicast Routing
The multicast routing problem with quality of service (QoS) constraints is a key requirement of computer networks supporting multimedia applications. In order to resolve Qos multicast routing effectively and efficiently, an improved ant colony optimization (ACO) algorithm is proposed to resolve this problem.The core idea of improved ACO algorithm is mainly realized through pheromone local and g...
متن کاملResearch on a New Method based on Improved ACO Algorithm and SVM Model for Data Classification
Because the properties of data are becoming more and more complex, the traditional data classification is difficult to realize the data classification according to the complexity characteristic of the data. Support vector machine is a machine learning method with the good generalization ability and prediction accuracy. So an improved ant colony optimization(ACO) algorithm is introduced into the...
متن کاملAn improved opposition-based Crow Search Algorithm for Data Clustering
Data clustering is an ideal way of working with a huge amount of data and looking for a structure in the dataset. In other words, clustering is the classification of the same data; the similarity among the data in a cluster is maximum and the similarity among the data in the different clusters is minimal. The innovation of this paper is a clustering method based on the Crow Search Algorithm (CS...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Energy Procedia
سال: 2011
ISSN: 1876-6102
DOI: 10.1016/j.egypro.2011.12.066