The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, a self-adaptive two phase approach for large scaleoptimization is proposed. In the first phase, we design a uniformdiscrete search method which can quickly and roughly scan the searchspace and find good initial points. Thenwe continuously narrow the search space and make moreprecise search in a dynamically self-adaptive way. Inthe second phase, we design a dynamically self-adaptivegrouping...
The cooperative co-evolution framework (CC) is widely used in the large scale global optimization. It is believed that the CC framework is very sensitive to grouping strategies and the performance deteriorate if interacted variables are not correctly grouped. So many efforts have been devoted to find good ways to correctly decompose the large scale problem into smaller sub-problems so as to effectively...
In this paper a novel Geometric Programming based distributed approach is proposed which enables small cell users to optimize their downlink performance by exploiting distributed joint allocation of transmission power and subchannels. The problem is formulated to maximize the system sum capacity, specifically, the time delay is taken into as a constraint to guarantee the quality of service. Consequently,...
Statistical energy functions are general models about atomic or residue-level interactions in biomolecules, derived from existing experimental data. They provide quantitative foundations for structural modeling as well as for structure-based protein sequence design. Statistical energy functions can be derived computationally either based on statistical distributions or based on variational assumptions...
Cooperative co-evolution framework is widely used in large scale optimization problems. Usually, the large scale problem is divided into smaller sub groups using black-box decomposition methods based on variable interactions. However these black-box decomposition methods have limitations in finding correct variable interactions. In this paper, a white-box decomposition method named formula based grouping...
A combination of dynamic optimization and regulatory control system is proposed for grade transition operation in a continuous stirred tank reactor (CSTR). We discuss an optimal grade transition to minimize the raw material with constraints on manipulated variables, polymer quality and operating condition. Through case study of a free radical styrene polymerization, we show that the adequate endpoint...
The evolutions computation is the best proceeding algorithm for all kinds of optimization problem in the world. Bayesian optimization algorithm (BOA) is one kind of the evolution algorithm which is advantage on others for high order, hierarchical and correlative on anther optimization problem. For improving the ability of the BOA, the decision graph was introduced to enhance the represent and learn...
The Particle Swarm Optimization (PSO) plunges into the local minimum easily. In order to overcome this shortcoming, we propose an improved PSO algorithm with the features of linearly decreasing of inertia weight and the re-initialization of the particle when it gets stagnated. The improved PSO is a local PSO and its topology is wheels. From the experimental results of three non-linear testing functions...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.