TITLE

Guest Editorial

AUTHOR(S)
Qiu, Robin G.; He, Matthew
PUB. DATE
April 2010
SOURCE
Journal of Networks;Apr2010, Vol. 5 Issue 4, p391
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The article discusses various reports published within the issue, including one by Hua Jiang and Junhu Ruan on the risk assessment model developed for high-technology projects, one by Jun Tang and Xiaojuan Zhao on the hybrid particle swarm optimization (PSO), and one by Yongquan Zhou and colleagues regarding the population migration algorithm intended for RBF neural network algorithm.
ACCESSION #
51532968

 

Related Articles

  • SPIRAL DYNAMICS OPTIMIZATION-BASED ALGORITHM FOR HUMAN HEALTH IMPROVEMENT. KHAN, KOFFKA; SAHAI, ASHOK // Computer Science & Telecommunications;Feb2013, Vol. 37 Issue 1, p31 

    A study using the spiral dynamics optimization algorithm to evaluate the human health effects of using computer-aided workstations on employees. We collected data for human health risk on employees at their workplaces, analyzed the data and proposed corrective measures applying our methodology....

  • Energy and GHG emissions management of agricultural systems using multi objective particle swarm optimization algorithm: a case study. Barak, Sasan; Yousefi, Marziye; Maghsoudlou, Hamidreza; Jahangiri, Sanaz // Stochastic Environmental Research & Risk Assessment;Apr2016, Vol. 30 Issue 4, p1167 

    In the recent centuries, one of the most important ongoing challenges is energy consumption and its environmental impacts. As far as agriculture is concerned, it has a key role in the world economics and a great amount of energy from different sources is used in this sector. Since researchers...

  • Risk Invoked Emission Constrained Self-Scheduling of a Genco: a Multi Objective Approach. Babu, M. Ramesh; Somasundaram, P. // International Review of Electrical Engineering;Mar/Apr2012, Vol. 7 Issue 2, p4271 

    This paper addresses a novel method for the risk invoked multi objective self scheduling (RIMOSS) of the price taking Genco in the day-ahead energy and spinning reserve market by considering conflicting objectives of the maximization of profit and the minimization of emission impacts. An elitist...

  • MULTI-OBJECTIVE BIDDING STRATEGY FOR GENCO USING NON-DOMINATED SORTING PARTICLE SWARM OPTIMIZATION. Saksinchai, Apinat; Boonchuay, Chanwit; Ongsakul, Weerakorn // AIP Conference Proceedings;6/15/2010, Vol. 1239 Issue 1, p377 

    This paper proposes a multi-objective bidding strategy for a generation company (GenCo) in uniform price spot market using non-dominated sorting particle swarm optimization (NSPSO). Instead of using a tradeoff technique, NSPSO is introduced to solve the multi-objective strategic bidding problem...

  • DEVELOPMENT OF OPTIMAL BIDDING STRATEGIES USING NEW AGGREGATED DEMAND MODEL AND HYBRID TECHNIQUE. REDDY, V. MADHU SUDANA; SUBRAMANYAM, B.; KALAVATHI, M. SURYA // Journal of Theoretical & Applied Information Technology;8/31/2013, Vol. 54 Issue 3, p474 

    The deregulated power industry meets the challenges of increase their profits and also minimize the associated risks of the system. Instead of this the demand of the system must be satisfied. This can be done by the optimum bidding strategies of the generating companies and the large consumers....

  • Identification of Deceptive Reviews by Sentimental Analysis and Characteristics of Reviewers. Xinyu Gao; Shi Li; Yiyin Zhu; Yiting Nan; Zihan Jian; Hongyu Tang // Journal of Engineering Science & Technology Review;2019, Vol. 12 Issue 1, p196 

    The purchase decisions of customers are influenced by the relevant reviews made by customers. Deceptive reviews are confusing and hard to detect. The existing identification method of deceptive reviews is based on the traditional algorithm of machine learning. However, the methods used to...

  • Editorial: Time-Frequency Approach to Radar Detection, Imaging, and Classification. THAYAPARAN, THAYANANTHAN; STANKOVIC, LJUBISA; AMIN, MOENESS; CHEN, VICTOR; COHEN, LEON; BOASHASH, BOUALEM // IET Signal Processing;Aug2010, Vol. 4 Issue 4, p325 

    The article discusses various reports published within the issue, including one on a two-dimensional multiwindow S-method for radar imaging applications, and another on the genetic algorithm (GA) and the particle swarm optimization (PSO) algorithm.

  • Research on the Application of Neural Networks to the Security and Risk Assessment of Information. Kai LAI; Yan WANG // International Journal of Digital Content Technology & its Applic;May2012, Vol. 6 Issue 9, p132 

    It has limitations to apply the traditional mathematical model to assess the risk of the information security for it is characterized by its nonlinearity and uncertainty. The RBF Neural Networks Theory, Particle Swarm Optimization (PSO) Analysis and Fuzzy Evaluation are combined to build a...

  • Recent Trends of Computational Methods in Vibration Problems. Chakraverty, Snehashish; Sahu, Atma; Keong, Choong Kok; Hassan, Saleh M. // Advances in Acoustics & Vibration;2012, Vol. 2012, p1 

    An introduction is presented in which the editor discusses various research papers within the issue on topics including vibration analysis, use of particle swarm optimization and homotopy analysis method.

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics