Intelligent Decision Making Using Evolutionary System for Optimizing Product-Mix Model

The development and deployment of managerial decision support system represents an emerging trend in the business and organizational field in which the increased application of Decision Support Systems (DSS) can be compiling by Intelligent Systems (IS). Decision Support Systems (DSS) are a specific class of computerized information system that supports business and organizational decision-making activities. A properly designed DSS is an interactive software-based system intended to help decision makers compile useful information from raw data, documents, personal knowledge, and/or business models to identify and solve problems and make decisions. Competitive business pressures and a desire to leverage existing information technology investments have led many firms to explore the benefits of evolutionary system data management solutions such as Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). This study proposes a new model for product mix problem based on evolutionary system for optimizing constraint values as well as objective function. The formulations of the objective function for the minimization problem. This technology is designed to help businesses to finding multi objective functions

Optimization of ANN Structure Using Adaptive PSO & GA and Performance Analysis Based on Boolean Identities

In this paper, a novel heuristic structure optimization technique is proposed for Neural Network using Adaptive PSO & GA on Boolean identities to improve the performance of Artificial Neural Network (ANN). The selection of the optimal number of hidden layers and nodes has a significant impact on the performance of a neural network, is decided in an adhoc manner. The optimization of architecture and weights of neural network is a complex task. In this regard the use of evolutionary techniques based on Adaptive Particle Swarm Optimization (APSO) & Adaptive Genetic Algorithm (AGA) is used for selecting an optimal number of hidden layers and nodes of the neural controller, for better performance and low training errors through Boolean identities. The hidden nodes are adapted through the generation until they reach the optimal number. The Boolean operators such as AND, OR, XOR have been used for performance analysis of this technique

Proceedings of International Conference on Advancement in Engineering & Technology

About ICAET-2012 International Conference on Advancement in Engineering and Technology (ICAET). ICAET aims to bring together researchers, scientists, engineers, and scholar students to exchange and share their experiences, new ideas, and research results about all aspects of Computer Science, Electronics and Communication engineering, and discuss the practical challenges encountered and the solutions adopted. The conference will be held every year to make it an ideal platform for people to share views and experiences in Computer Science, Electronics and Communication Engineering and related areas. ICAET invites original contributions on topics covered under broad areas such as (but not limited to): Scientific and engineering computing Problem-solving environments Advanced numerical computation and optimization Complex systems: modeling and simulation Signal and System theory, Digital signal processing Architectures and computation models, compiler, hardware and OS issues Memory system, I/O, tools, programming environment and language supports Microwave theory and techniques, Radar, Sonar Artificial intelligence Visualizations and virtual reality Hardware/software co-design and VLSI support Cluster, grid and web-based computing and simulation Education in computational science and engineering Related applications The conference designed to stimulate the young minds including Research Scholars, Academicians, and Practitioners to contribute their ideas, thoughts and nobility in these disciplines of engineering. We received a great response from all parts of country and abroad getting more than 100 papers and peer review 27 papers got selected for the presentation and publication in the proceeding of the conference. I sincerely thank all the authors for their invaluable contribution to this conference. I am indebted towards the reviewers and Board of Editors for their generous gifts of time, energy and effort.https://www.interscience.in/conf_proc_volumes/1016/thumbnail.jp

Re-Purposing the Physical Space of an Academic Library in the Digital Era: A Case Study of Jawaharlal Nehru University and Delhi University, New Delhi (India)

Objectives – The issue/return of books and other reading materials available on shelves in academic libraries has declined. Round-the-clock availability of information resources, high-speed internet, cheaper cost of data download, laptops, and smartphones are some of the reasons behind decreased usage of print reading materials. Users are spending more time studying, accessing e-resources, socializing with friends, and discussing with peer groups in the library building. Libraries in developed countries have already recognized the need of the hour and redesigned their spaces to create a variety of reading spaces, creative spaces, quiet spaces, and so forth in the existing building. But the libraries of the higher education institutions in India have not considered the users' needs concerning the library space. No such study has been conducted at large universities in India. This study was conducted with library users of the central library of two large universities located in New Delhi to find users' opinions and views to re-purpose the library space to meet users' needs. Methods – The survey method has been used to understand the use of the existing format of knowledge resources and the need of library users. The central point of the research questionnaire is to optimize the library space of the central libraries of the universities under study. Printed questionnaires were distributed to the users present in the reading halls of the libraries at Jawaharlal Nehru University (JNU), New Delhi, and Delhi University (DU), New Delhi, and online questionnaires were distributed to faculty members. The collected data were analyzed with Microsoft Excel, and various hypotheses were tested using non-parametric tests such as the sign test, Mann-Whitney U test, and Kruskal-Wallis test. Results – Students and research scholars visit daily and spend more than four hours in the library building. They use their time in study, accessing e-resources in the reading halls of the library more than any other place. The users opined the reading halls should have wi-fi facilities, a power source to charge laptops and mobile phones, washrooms near every reading hall, a quiet reading space, and a clean ambient environment for long hours of study in the library building. Conclusion – Library users in the 21st century want more physical space to study, concentrate, socialize, and learn in the informal learning environment. They need library space with the latest infrastructure to connect to the digital world to retrieve study materials and print copies of study materials. Educational institutions should create more varied reading spaces for serious reading, pleasure reading, in-depth reading, and interactive learning spaces in new library buildings

Empirical Study on Clustering Based on Modified Teaching Learning Based Optimization

AbstractIn this Paper the focus is given on data clustering using Modified Teaching–Learning Based Optimization (MTLBO) a hybridization technique of TLBO. Unlike TLBO, this population based method works on the effect of influence of a teacher on learners to find the optimum solution and it has been used for clustering. The motivation behind the data clustering is to find inherent structure in the data items and grouping then on the basis of their mutual similarity. The effectiveness of the method is tested on many benchmark problems with different characteristics and the results are compared with other population based methods and finally it is implemented on clustering using neural network in data mining

Effect of orientation on the wake of a square cylinder at low Reynolds numbers

447-459Experimental investigation of flow past a square cylinder at Reynolds numbers of 97 and 187 is reported. Cylinder orientations of 0 to 60o with respect to the mean flow have been considered. Two-component hotwire anemometry has been adopted for velocity measurements. The wake of the cylinder has been visualized using a pulsed laser sheet to understand the flow structure. Measurements have been carried out in the near wake, mid-wake and far wake of the cylinder. The effects of orientation and Reynolds number on Strouhal number, drag coefficient, time-average and rms velocity distributions, decay of velocity fluctuations and power spectra are of interest. There is a dominant peak of vortex shedding in the near wake velocity spectra over the range of Reynolds numbers studied. The Strouhal number and drag coefficient are correlated to the cylinder angle. A change in the cylinder orientation leads to an early appearance of quasi-periodicity and hence three-dimensionality, owing to the asymmetric nature of the wake. The shape of the mean velocity profiles, fluctuations and the rate of decay show a strong dependence on the cylinder orientation in the near wake, though the dependence weakens in the far wake. Among the angles studied, the wake of a cylinder whose orientation is 22.5o with respect to the incoming flow is surprisingly vigorous, and shows strong three-dimensionality. The data of the present work is useful for assessing flow interaction with cylindrical structures of square cross-section.</b

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